Special Interest Group on the Lexicon (SIGLEX)
SIGLEX homepage
Table of contents
Proceedings of the 12th Workshop on Multiword Expressions
Proceedings of the 12th Workshop on Multiword Expressions
[W16-1800]:
Valia Kordoni
|
Kostadin Cholakov
|
Markus Egg
|
Stella Markantonatou
|
Preslav Nakov
Learning Paraphrasing for Multiword Expressions
[W16-1801]:
Seid Muhie Yimam
|
Hėctor Martínez Alonso
|
Martin Riedl
|
Chris Biemann
Exploring Long-Term Temporal Trends in the Use of Multiword Expressions
[W16-1802]:
Tal Daniel
|
Mark Last
Lexical Variability and Compositionality: Investigating Idiomaticity with
Distributional Semantic Models
[W16-1803]:
Marco Silvio Giuseppe Senaldi
|
Gianluca E. Lebani
|
Alessandro Lenci
Filtering and Measuring the Intrinsic Quality of Human Compositionality
Judgments
[W16-1804]:
Carlos Ramisch
|
Silvio Cordeiro
|
Aline Villavicencio
Graph-based Clustering of Synonym Senses for German Particle Verbs
[W16-1805]:
Moritz Wittmann
|
Marion Weller-Di Marco
|
Sabine Schulte im Walde
Accounting ngrams and multi-word terms can improve topic models
[W16-1806]:
Michael Nokel
|
Natalia Loukachevitch
Top a Splitter: Using Distributional Semantics for Improving Compound Splitting
[W16-1807]:
Patrick Ziering
|
Stefan Müller
|
Lonneke van der Plas
Using Word Embeddings for Improving Statistical Machine Translation of
Phrasal Verbs
[W16-1808]:
Kostadin Cholakov
|
Valia Kordoni
Modeling the Non-Substitutability of Multiword Expressions with
Distributional Semantics and a Log-Linear Model
[W16-1809]:
Meghdad Farahmand
|
James Henderson
Phrase Representations for Multiword Expressions
[W16-1810]:
Joėl Legrand
|
Ronan Collobert
Representing Support Verbs in FrameNet
[W16-1811]:
Miriam R L Petruck
|
Michael Ellsworth
Inherently Pronominal Verbs in Czech: Description and Conversion Based on
Treebank Annotation
[W16-1812]:
Zdenka Uresova
|
Eduard Bejček
|
Jan Hajic
Using collocational features to improve automated scoring of EFL texts
[W16-1813]:
Yves Bestgen
A study on the production of collocations by European Portuguese learners
[W16-1814]:
Angela Costa
|
Luísa Coheur
|
Teresa Lino
Extraction and Recognition of Polish Multiword Expressions using
Wikipedia and Finite-State Automata
[W16-1815]:
Paweł Chrząszcz
Impact of MWE Resources on Multiword Recognition
[W16-1816]:
Martin Riedl
|
Chris Biemann
A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations
[W16-1817]:
Waseem Gharbieh
|
Virendra Bhavsar
|
Paul Cook
Proceedings of the Fourth Joint Conference on Lexical and Computational
Semantics
Proceedings of the Fourth Joint Conference on Lexical and Computational
Semantics
[S15-1000]:
Martha Palmer
|
Gemma Boleda
|
Paolo Rosso
Neural Networks for Integrating Compositional and Non-compositional
Sentiment in Sentiment Composition
[S15-1001]:
Xiaodan Zhu
|
Hongyu Guo
|
Parinaz Sobhani
Compositional Distributional Semantics with Long Short Term Memory
[S15-1002]:
Phong Le
|
Willem Zuidema
A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
[S15-1003]:
Nikolaos Aletras
|
Mark Stevenson
Distributional semantics for ontology verification
[S15-1004]:
Julien Corman
|
Laure Vieu
|
Nathalie Aussenac-Gilles
Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling
[S15-1005]:
Parvin Sadat Feizabadi
|
Sebastian Padó
Identification of Caused Motion Construction
[S15-1006]:
Jena D. Hwang
|
Martha Palmer
A Methodology for Word Sense Disambiguation at 90% based on large-scale
CrowdSourcing
[S15-1007]:
Oier Lopez de Lacalle
|
Eneko Agirre
Learning Structures of Negations from Flat Annotations
[S15-1008]:
Vinodkumar Prabhakaran
|
Branimir Boguraev
A New Dataset and Evaluation for Belief/Factuality
[S15-1009]:
Vinodkumar Prabhakaran
|
Tomas By
|
Julia Hirschberg
|
Owen Rambow
|
Samira Shaikh
|
Tomek Strzalkowski
|
Jennifer Tracey
|
Michael Arrigo
|
Rupayan Basu
|
Micah Clark
|
Adam Dalton
|
Mona Diab
|
Louise Guthrie
|
Anna Prokofieva
|
Stephanie Strassel
|
Gregory Werner
|
Yorick Wilks
|
Janyce Wiebe
Non-Orthogonal Explicit Semantic Analysis
[S15-1010]:
Nitish Aggarwal
|
Kartik Asooja
|
Georgeta Bordea
|
Paul Buitelaar
Combining Mention Context and Hyperlinks from Wikipedia for Named Entity
Disambiguation
[S15-1011]:
Ander Barrena
|
Aitor Soroa
|
Eneko Agirre
Collective Document Classification with Implicit Inter-document Semantic
Relationships
[S15-1012]:
Clint Burford
|
Steven Bird
|
Timothy Baldwin
SGRank: Combining Statistical and Graphical Methods to Improve the State
of the Art in Unsupervised Keyphrase Extraction
[S15-1013]:
Soheil Danesh
|
Tamara Sumner
|
James H. Martin
Towards Semantic Language Classification: Inducing and Clustering Semantic
Association Networks from Europarl
[S15-1014]:
Steffen Eger
|
Niko Schenk
|
Alexander Mehler
Ideological Perspective Detection Using Semantic Features
[S15-1015]:
Heba Elfardy
|
Mona Diab
|
Chris Callison-Burch
Mapping Different Rhetorical Relation Annotations: A Proposal
[S15-1016]:
Farah Benamara
|
Maite Taboada
Dissecting the Practical Lexical Function Model for Compositional
Distributional Semantics
[S15-1017]:
Abhijeet Gupta
|
Jason Utt
|
Sebastian Padó
Event Extraction as Frame-Semantic Parsing
[S15-1018]:
Alex Judea
|
Michael Strube
Competence in lexical semantics
[S15-1019]:
Andras Kornai
|
Judit Àcs
|
Márton Makrai
|
Dávid Márk Nemeskey
|
Katalin Pajkossy
|
Gábor Recski
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical
Approach
[S15-1020]:
Luis Marujo
|
Ricardo Ribeiro
|
David Martins de Matos
|
João Neto
|
Anatole Gershman
|
Jaime Carbonell
Reading Between the Lines: Overcoming Data Sparsity for Accurate
Classification of Lexical Relationships
[S15-1021]:
Silvia Necsulescu
|
Sara Mendes
|
David Jurgens
|
Núria Bel
|
Roberto Navigli
Multi-Level Alignments As An Extensible Representation Basis for Textual
Entailment Algorithms
[S15-1022]:
Tae-Gil Noh
|
Sebastian Padó
|
Vered Shwartz
|
Ido Dagan
|
Vivi Nastase
|
Kathrin Eichler
|
Lili Kotlerman
|
Meni Adler
Leveraging Preposition Ambiguity to Assess Compositional Distributional
Models of Semantics
[S15-1023]:
Samuel Ritter
|
Cotie Long
|
Denis Paperno
|
Marco Baroni
|
Matthew Botvinick
|
Adele Goldberg
Learning to predict script events from domain-specific text
[S15-1024]:
Rachel Rudinger
|
Vera Demberg
|
Ashutosh Modi
|
Benjamin Van Durme
|
Manfred Pinkal
Combining Open Source Annotators for Entity Linking through Weighted Voting
[S15-1025]:
Pablo Ruiz
|
Thierry Poibeau
Automatic Generation of a Lexical Resource to support Semantic Role
Labeling in Portuguese
[S15-1026]:
Magali Sanches Duran
|
Sandra Aluísio
Can Selectional Preferences Help Automatic Semantic Role Labeling?
[S15-1027]:
Shumin Wu
|
Martha Palmer
Implicit Entity Recognition in Clinical Documents
[S15-1028]:
Sujan Perera
|
Pablo Mendes
|
Amit Sheth
|
Krishnaprasad Thirunarayan
|
Adarsh Alex
|
Christopher Heid
|
Greg Mott
A Distant Supervision Approach to Semantic Role Labeling
[S15-1029]:
Peter Exner
|
Marcus Klang
|
Pierre Nugues
Discovering Hypernymy Relations using Text Layout
[S15-1030]:
Jean-Philippe Fauconnier
|
Mouna Kamel
The complexity of finding the maximum spanning DAG and other restrictions
for DAG parsing of natural language
[S15-1031]:
Natalie Schluter
Incremental Semantic Construction Using Normal Form CCG Derivation
[S15-1032]:
Yoshihide Kato
|
Shigeki Matsubara
Dependency-Based Semantic Role Labeling using Convolutional Neural Networks
[S15-1033]:
William Foland
|
James Martin
A State-of-the-Art Mention-Pair Model for Coreference Resolution
[S15-1034]:
Olga Uryupina
|
Alessandro Moschitti
Resolving Discourse-Deictic Pronouns: A Two-Stage Approach to Do It
[S15-1035]:
Sujay Kumar Jauhar
|
Raul Guerra
|
Edgar Gonzàlez Pellicer
|
Marta Recasens
Graph-based Coherence Modeling For Assessing Readability
[S15-1036]:
Mohsen Mesgar
|
Michael Strube
Proceedings of the 9th International Workshop on Semantic Evaluation
(SemEval 2015)
Proceedings of the 9th International Workshop on Semantic Evaluation
(SemEval 2015)
[S15-2000]:
Torsten Zesch
|
Preslav Nakov
|
Daniel Cer
|
David Jurgens
SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)
[S15-2001]:
Bill Dolan
|
Chris Callison-Burch
|
Wei Xu
MITRE: Seven Systems for Semantic Similarity in Tweets
[S15-2002]:
John Henderson
|
Guido Zarrella
|
Elizabeth M. Merkhofer
|
Laura Strickhart
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community
Question Answering Task
[S15-2003]:
Grigori Sidorov
|
David Pinto
|
Darnes Vilariño
|
Helena Gomez
HLTC-HKUST: A Neural Network Paraphrase Classifier using Translation
Metrics, Semantic Roles and Lexical Similarity Features
[S15-2004]:
Pascale Fung
|
Dario Bertero
FBK-HLT: An Effective System for Paraphrase Identification and Semantic
Similarity in Twitter
[S15-2005]:
Octavian Popescu
|
Ngoc Phuoc An Vo
|
Simone Magnolini
ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
[S15-2006]:
Man Lan
|
Jiang Zhao
ROB: Using Semantic Meaning to Recognize Paraphrases
[S15-2007]:
Gertjan van Noord
|
Rob van der Goot
AMRITA_CEN$@$SemEval-2015: Paraphrase Detection for Twitter using
Unsupervised Feature Learning with Recursive Autoencoders
[S15-2008]:
Mahalakshmi Shanumuga Sundaram
|
Anand Kumar Madasamy
|
Soman Kotti Padannayil
Ebiquity: Paraphrase and Semantic Similarity in Twitter using Skipgrams
[S15-2009]:
Tim Finin
|
Taneeya Satyapanich
|
Hang Gao
RTM-DCU: Predicting Semantic Similarity with Referential Translation Machines
[S15-2010]:
Ergun Bicici
Twitter Paraphrase Identification with Simple Overlap Features and SVMs
[S15-2011]:
Bill Keller
|
Asli Eyecioglu
TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay
[S15-2012]:
Marie-Francine Moens
|
Ivan Vulić
|
Jan Šnajder
|
Goran Glavaš
|
Mladen Karan
|
Bojana Dalbelo Bašić
CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
[S15-2013]:
Rafael - Michael Karampatsis
yiGou: A Semantic Text Similarity Computing System Based on SVM
[S15-2014]:
Yang Liu
|
Xiaolong Wang
|
Chengjie Sun
|
Lei Lin
USAAR-SHEFFIELD: Semantic Textual Similarity with Deep Regression and
Machine Translation Evaluation Metrics
[S15-2015]:
Lucia Specia
|
Liling Tan
|
Josef van Genabith
|
Carolina Scarton
TrWP: Text Relatedness using Word and Phrase Relatedness
[S15-2016]:
Aminul Islam
|
Evangelos Milios
|
Md Rashadul Hasan Rakib
MiniExperts: An SVM Approach for Measuring Semantic Textual Similarity
[S15-2017]:
Ruslan Mitkov
|
Constantin Orasan
|
Hanna Béchara
|
Rohit Gupta
|
Hernani Costa
|
Shiva Taslimipoor
|
Gloria Corpas Pastor
FBK-HLT: A New Framework for Semantic Textual Similarity
[S15-2018]:
Octavian Popescu
|
Ngoc Phuoc An Vo
|
Simone Magnolini
UMDuluth-BlueTeam: SVCSTS - A Multilingual and Chunk Level Semantic
Similarity System
[S15-2019]:
Sakethram Karumuri
|
Viswanadh Kumar Reddy Vuggumudi
|
Sai Charan Raj Chitirala
SemantiKLUE: Semantic Textual Similarity with Maximum Weight Matching
[S15-2020]:
Stefan Evert
|
Gabriella Lapesa
|
Thomas Proisl
|
Nataliia Plotnikova
ECNU: Using Traditional Similarity Measurements and Word Embedding for
Semantic Textual Similarity Estimation
[S15-2021]:
Man Lan
|
Jiang Zhao
|
Jun Feng Tian
UQeResearch: Semantic Textual Similarity Quantification
[S15-2022]:
Hamed Hassanzadeh
|
Tudor Groza
|
Anthony Nguyen
|
Jane Hunter
WSL: Sentence Similarity Using Semantic Distance Between Words
[S15-2023]:
Naoko Miura
|
Tomohiro Takagi
SOPA: Random Forests Regression for the Semantic Textual Similarity task
[S15-2024]:
Davide Buscaldi
|
Jorge Garcia Flores
|
Ivan V. Meza
|
Isaac Rodriguez
MathLingBudapest: Concept Networks for Semantic Similarity
[S15-2025]:
Gábor Recski
|
Judit Àcs
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic
Textual Similarity SemEval-2015 Task 2
[S15-2026]:
Gareth Jones
|
Jennifer Foster
|
Chris Hokamp
|
Piyush Arora
DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector
Composition
[S15-2027]:
Tamara Sumner
|
Steven Bethard
|
Md Arafat Sultan
FCICU: The Integration between Sense-Based Kernel and Surface-Based
Methods to Measure Semantic Textual Similarity
[S15-2028]:
Samir AbdelRahman
|
Basma Hassan
|
Reem Bahgat
AZMAT: Sentence Similarity Using Associative Matrices
[S15-2029]:
Lifeng Jin
|
David King
|
Marten van Schijndel
|
Evan Jaffe
NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity
[S15-2030]:
Vasile Rus
|
Rajendra Banjade
|
Mihai Lintean
|
Dan Stefanescu
|
Nobal Bikram Niraula
|
Nabin Maharjan
|
Dipesh Gautam
Samsung: Align-and-Differentiate Approach to Semantic Textual Similarity
[S15-2031]:
Justin Martineau
|
Doreen Cheng
|
Lushan Han
|
Christopher Thomas
UBC: Cubes for English Semantic Textual Similarity and Supervised
Approaches for Interpretable STS
[S15-2032]:
German Rigau
|
Eneko Agirre
|
Aitor Gonzalez-Agirre
|
Montse Maritxalar
|
Inigo Lopez-Gazpio
|
Larraitz Uria
ASAP-II: From the Alignment of Phrases to Textual Similarity
[S15-2033]:
Hugo Gonçalo Oliveira
|
Ana Alves
|
Adriana Ferrugento
|
David Simões
TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity
[S15-2034]:
Quan Hung Tran
|
Son Bao Pham
|
Tu Thanh Vu
HITSZ-ICRC: Exploiting Classification Approach for Answer Selection in
Community Question Answering
[S15-2035]:
Qingcai Chen
|
Xiaolong Wang
|
Jun Xu
|
Yaoyun Zhang
|
Yongshuai Hou
|
Cong Tan
QCRI: Answer Selection for Community Question Answering - Experiments for
Arabic and English
[S15-2036]:
Lluís Màrquez
|
Alessandro Moschitti
|
Alberto Barrón-Cedeño
|
Preslav Nakov
|
Wei Gao
|
Iman Saleh
|
Shafiq Joty
|
Giovanni Da San Martino
|
Kareem Darwish
|
Massimo Nicosia
|
Hamdy Mubarak
|
Simone Filice
|
Walid Magdy
ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for
Answer Selection Challenge
[S15-2037]:
Xiaolong Wang
|
Xiaoqiang Zhou
|
Baotian Hu
|
Jiaxin Lin
|
Yang xiang
JAIST: Combining multiple features for Answer Selection in Community
Question Answering
[S15-2038]:
Quan Hung Tran
|
Minh Nguyen
|
Vu Tran
|
Tu Vu
|
Son Bao Pham
Shiraz: A Proposed List Wise Approach to Answer Validation
[S15-2039]:
Amin Heydari Alashty
|
Saeed Rahmani
|
Meysam Roostaee
|
Mostafa Fakhrahmad
Al-Bayan: A Knowledge-based System for Arabic Answer Selection
[S15-2040]:
Reham Mohamed
|
Maha Ragab
|
Heba Abdelnasser
|
Nagwa M. El-Makky
|
Marwan Torki
FBK-HLT: An Application of Semantic Textual Similarity for Answer
Selection in Community Question Answering
[S15-2041]:
Octavian Popescu
|
Ngoc Phuoc An Vo
|
Simone Magnolini
ECNU: Using Multiple Sources of CQA-based Information for Answers
Selection and YES/NO Response Inference
[S15-2042]:
Man Lan
|
Liang Yi
|
JianXiang Wang
Voltron: A Hybrid System For Answer Validation Based On Lexical And
Distance Features
[S15-2043]:
Galia Angelova
|
Ivelina Nikolova
|
Ivan Zamanov
|
Marina Kraeva
|
Nelly Hateva
|
Ivana Yovcheva
CoMiC: Adapting a Short Answer Assessment System for Answer Selection
[S15-2044]:
Ramon Ziai
|
Björn Rudzewitz
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and
Pilot on Interpretability
[S15-2045]:
German Rigau
|
Janyce Wiebe
|
Eneko Agirre
|
Claire Cardie
|
Rada Mihalcea
|
Carmen Banea
|
Mona Diab
|
Weiwei Guo
|
Daniel Cer
|
Aitor Gonzalez-Agirre
|
Montse Maritxalar
|
Inigo Lopez-Gazpio
|
Larraitz Uria
ExB Themis: Extensive Feature Extraction from Word Alignments for Semantic
Textual Similarity
[S15-2046]:
Christian Hänig
|
Robert Remus
|
Xose de la Puente
SemEval-2015 Task 3: Answer Selection in Community Question Answering
[S15-2047]:
Lluís Màrquez
|
Alessandro Moschitti
|
Preslav Nakov
|
Jim Glass
|
Walid Magdy
|
Bilal Randeree
VectorSLU: A Continuous Word Vector Approach to Answer Selection in
Community Question Answering Systems
[S15-2048]:
Scott Cyphers
|
Yonatan Belinkov
|
Mitra Mohtarami
|
James Glass
SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and
Entity Linking
[S15-2049]:
Roberto Navigli
|
Andrea Moro
LIMSI: Translations as Source of Indirect Supervision for Multilingual
All-Words Sense Disambiguation and Entity Linking
[S15-2050]:
Marianna Apidianaki
|
Li Gong
SemEval-2015 Task 14: Analysis of Clinical Text
[S15-2051]:
Suresh Manandhar
|
Noémie Elhadad
|
Guergana Savova
|
Sameer Pradhan
|
Wendy Chapman
|
Sharon Gorman
UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14
[S15-2052]:
Hua Xu
|
Jun Xu
|
Yaoyun Zhang
|
Jingqi Wang
|
Yonghui Wu
|
Min Jiang
|
Ergin Soysal
SemEval-2015 Task 15: A CPA dictionary-entry-building task
[S15-2053]:
Octavian Popescu
|
Adam Kilgarriff
|
Silvie Cinkova
|
Jane Bradbury
|
Vít Baisa
|
Ismail El Maarouf
BLCUNLP: Corpus Pattern Analysis for Verbs Based on Dependency Chain
[S15-2054]:
Dong Yu
|
Yukun Feng
|
Qiao Deng
WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense
Disambiguation
[S15-2055]:
Rocco Tripodi
|
Marcello Pelillo
DFKI: Multi-objective Optimization for the Joint Disambiguation of
Entities and Nouns & Deep Verb Sense Disambiguation
[S15-2056]:
Hans Uszkoreit
|
Feiyu Xu
|
Dirk Weissenborn
EBL-Hope: Multilingual Word Sense Disambiguation Using a Hybrid
Knowledge-Based Technique
[S15-2057]:
Guido Boella
|
Eniafe Festus Ayetiran
VUA-background : When to Use Background Information to Perform Word Sense
Disambiguation
[S15-2058]:
Marten Postma
|
Piek Vossen
|
Ruben Izquierdo
TeamUFAL: WSD+EL as Document Retrieval
[S15-2059]:
Ondrej Bojar
|
Petr Fanta
|
Roman Sudarikov
EL92: Entity Linking Combining Open Source Annotators via Weighted Voting
[S15-2060]:
Thierry Poibeau
|
Pablo Ruiz
UNIBA: Combining Distributional Semantic Models and Sense Distribution for
Multilingual All-Words Sense Disambiguation and Entity Linking
[S15-2061]:
Pierpaolo Basile
|
Annalina Caputo
|
Giovanni Semeraro
SUDOKU: Treating Word Sense Disambiguation & Entitiy Linking as a
Deterministic Problem - via an Unsupervised & Iterative Approach
[S15-2062]:
Steve L. Manion
TeamHCMUS: Analysis of Clinical Text
[S15-2063]:
Quoc Ho
|
Nghia Huynh
UTU: Adapting Biomedical Event Extraction System to Disorder Attribute
Detection
[S15-2064]:
Kai Hakala
IHS-RD-Belarus: Identification and Normalization of Disorder Concepts in
Clinical Notes
[S15-2065]:
Maryna Chernyshevich
|
Vadim Stankevitch
UWM: A Simple Baseline Method for Identifying Attributes of Disease and
Disorder Mentions in Clinical Text
[S15-2066]:
Rohit Kate
|
Omid Ghiasvand
TAKELAB: Medical Information Extraction and Linking with MINERAL
[S15-2067]:
Goran Glavaš
TMUNSW: Identification of Disorders and Normalization to SNOMED-CT
Terminology in Unstructured Clinical Notes
[S15-2068]:
Hong-Jie Dai
|
Jitendra Jonnagaddala
|
Manish Kumar
|
Siaw-Teng Liaw
|
Pradeep Ray
UtahPOET: Disorder Mention Identification and Context Slot Filling with
Cognitive Inspiration
[S15-2069]:
Kristina Doing-Harris
|
Sean Igo
|
Jianlin Shi
|
John Hurdle
ULisboa: Recognition and Normalization of Medical Concepts
[S15-2070]:
Bruno Martins
|
Francisco Couto
|
André Leal
ezDI: A Supervised NLP System for Clinical Narrative Analysis
[S15-2071]:
Parth Pathak
|
Pinal Patel
|
Vishal Panchal
|
Narayan Choudhary
|
Amrish Patel
|
Sagar Soni
|
Kinjal Dani
CUAB: Supervised Learning of Disorders and their Attributes using Relations
[S15-2072]:
Steven Bethard
|
James Gung
|
John Osborne
BioinformaticsUA: Machine Learning and Rule-Based Recognition of Disorders
and Clinical Attributes from Patient Notes
[S15-2073]:
Sérgio Matos
|
José Luís Oliveira
|
José Sequeira
LIST-LUX: Disorder Identification from Clinical Texts
[S15-2074]:
Asma Ben Abacha
|
Yassine Mrabet
|
Aikaterini Karanasiou
|
Julio Cesar Dos Reis
CMILLS: Adapting Semantic Role Labeling Features to Dependency Parsing
[S15-2075]:
Gina-Anne Levow
|
Chad Mills
Duluth: Word Sense Discrimination in the Service of Lexicography
[S15-2076]:
Ted Pedersen
SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events
[S15-2077]:
Carlo Strapparava
|
Tommaso Caselli
|
Irene Russo
SemEval-2015 Task 10: Sentiment Analysis in Twitter
[S15-2078]:
Veselin Stoyanov
|
Preslav Nakov
|
Alan Ritter
|
Saif Mohammad
|
Sara Rosenthal
|
Svetlana Kiritchenko
UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment
Classification
[S15-2079]:
Alessandro Moschitti
|
Aliaksei Severyn
SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter
[S15-2080]:
John Barnden
|
Tony Veale
|
Paolo Rosso
|
Ekaterina Shutova
|
Aniruddha Ghosh
|
Guofu Li
|
Antonio Reyes
CLaC-SentiPipe: SemEval2015 Subtasks 10 B,E, and Task 11
[S15-2081]:
Sabine Bergler
|
Canberk Özdemir
SemEval-2015 Task 12: Aspect Based Sentiment Analysis
[S15-2082]:
Ion Androutsopoulos
|
Suresh Manandhar
|
Haris Papageorgiou
|
Maria Pontiki
|
Dimitris Galanis
NLANGP: Supervised Machine Learning System for Aspect Category
Classification and Opinion Target Extraction
[S15-2083]:
Jian Su
|
Zhiqiang Toh
SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment
Analysis
[S15-2084]:
Mauro Dragoni
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
[S15-2085]:
Davy Weissenbacher
|
Abeed Sarker
|
Graciela Gonzalez
|
Azadeh Nikfarjam
Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
[S15-2086]:
Ming Zhou
|
Furu Wei
|
Li Dong
|
Yichun Yin
|
Ke Xu
IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and
the Neutral!
[S15-2087]:
Vasudeva Varma
|
Manish Gupta
|
Ayushi Dalmia
CIS-positive: A Combination of Convolutional Neural Networks and Support
Vector Machines for Sentiment Analysis in Twitter
[S15-2088]:
Hinrich Schütze
|
Ngoc Thang Vu
|
Sebastian Ebert
GTI: An Unsupervised Approach for Sentiment Analysis in Twitter
[S15-2089]:
Milagros Fernández-Gavilanes
|
Tamara Àlvarez-López
|
Jonathan Juncal-Martínez
|
Enrique Costa-Montenegro
|
Francisco Javier González-Castaño
Gradiant-Analytics: Training Polarity Shifters with CRFs for Message Level
Polarity Detection
[S15-2090]:
Héctor Cerezo-Costas
|
Diego Celix-Salgado
IOA: Improving SVM Based Sentiment Classification Through Post Processing
[S15-2091]:
Weiqun Xu
|
Jia Sun
|
Peijia Li
|
Yonghong Yan
|
Chenglong Ma
RoseMerry: A Baseline Message-level Sentiment Classification System
[S15-2092]:
Timothy Baldwin
|
Richard Fothergill
|
Huizhi Liang
UDLAP: Sentiment Analysis Using a Graph-Based Representation
[S15-2093]:
Darnes Vilariño
|
Esteban Castillo
|
Ofelia Cervantes
|
David Báez
|
Alfredo Sánchez
ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional
Linguistic Features and Word Embedding Features
[S15-2094]:
Man Lan
|
Zhihua Zhang
|
Guoshun Wu
Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in
Twitter
[S15-2095]:
Patrice Bellot
|
Frederic Bechet
|
Hussam Hamdan
ELiRF: A SVM Approach for SA tasks in Twitter at SemEval-2015
[S15-2096]:
Ferran Pla
|
Lluís-F. Hurtado
|
Mayte Giménez
Webis: An Ensemble for Twitter Sentiment Detection
[S15-2097]:
Benno Stein
|
Martin Potthast
|
Matthias Hagen
|
Michel Büchner
Sentibase: Sentiment Analysis in Twitter on a Budget
[S15-2098]:
Vasudeva Varma
|
Aditya Joshi
|
Satarupa Guha
UNIBA: Sentiment Analysis of English Tweets Combining Micro-blogging,
Lexicon and Semantic Features
[S15-2099]:
Pierpaolo Basile
|
Nicole Novielli
IITPSemEval: Sentiment Discovery from 140 Characters
[S15-2100]:
Asif Ekbal
|
Ayush Kumar
|
Vamsi Krishna
Swiss-Chocolate: Combining Flipout Regularization and Random Forests with
Artificially Built Subsystems to Boost Text-Classification for Sentiment
[S15-2101]:
Leon Derczynski
|
Mark Cieliebak
|
Fatih Uzdilli
|
Martin Jaggi
|
Dominic Egger
|
Pascal Julmy
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon
Induction
[S15-2102]:
Wang Ling
|
Isabel Trancoso
|
Bruno Martins
|
Silvio Amir
|
Mario J. Silva
|
Ramón Astudillo
KLUEless: Polarity Classification and Association
[S15-2103]:
Stefan Evert
|
Nataliia Plotnikova
|
Micha Kohl
|
Kevin Volkert
|
Andreas Lerner
|
Natalie Dykes
|
Heiko Ermer
SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification
[S15-2104]:
Richard Wicentowski
|
Ruth Talbot
|
Chloe Acheampong
SWATCS65: Sentiment Classification Using an Ensemble of Class Projects
[S15-2105]:
Richard Wicentowski
SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression
[S15-2106]:
Richard Wicentowski
|
Yousef Alhessi
TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis
[S15-2107]:
Anna Rumshisky
|
Peter Potash
|
William Boag
SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier
with Supervised Learning
[S15-2108]:
Erik Cambria
|
Soujanya Poria
|
Prerna Chikersal
INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic
Resources using Embedding Subspaces
[S15-2109]:
Wang Ling
|
Isabel Trancoso
|
Bruno Martins
|
Silvio Amir
|
Mario J. Silva
|
Ramón Astudillo
WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition
[S15-2110]:
Maria Liakata
|
Bo Wang
|
Arkaitz Zubiaga
|
Rob Procter
|
Adam Tsakalidis
|
Alexandra Cristea
|
Richard Townsend
|
Yiwei Zhou
UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at
SemEval 2015
[S15-2111]:
Binyang Li
|
Gaoyan Ou
|
Tengjiao Wang
|
Kam-fai Wong
|
Jing Ma
|
Xu Han
|
Yuxiao Zhang
SWAT-CMW: Classification of Twitter Emotional Polarity using a
Multiple-Classifier Decision Schema and Enhanced Emotion Tagging
[S15-2112]:
Richard Wicentowski
|
Riley Collins
|
Daniel May
|
Noah Weinthal
LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets
[S15-2113]:
Chu-Ren Huang
|
Enrico Santus
|
Hongzhi Xu
|
Anna Laszlo
KELabTeam: A Statistical Approach on Figurative Language Sentiment
Analysis in Twitter
[S15-2114]:
Dosam Hwang
|
Hoang Long Nguyen
|
Trung Duc Nguyen
|
Jason J. Jung
LT3: Sentiment Analysis of Figurative Tweets: piece of cake #NotReally
[S15-2115]:
Veronique Hoste
|
Els Lefever
|
Cynthia Van Hee
PRHLT: Combination of Deep Autoencoders with Classification and Regression
Techniques for SemEval-2015 Task 11
[S15-2116]:
Parth Gupta
|
Jon Ander Gómez
ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and
Sarcasm
[S15-2117]:
Viviana Patti
|
Cristina Bosco
|
Delia Irazú Hernández Farías
|
Emilio Sulis
|
Giancarlo Ruffo
CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not
[S15-2118]:
Barbara Plank
|
Héctor Martínez Alonso
|
Sarah McGillion
UPF-taln: SemEval 2015 Tasks 10 and 11. Sentiment Analysis of Literal and
Figurative Language in Twitter
[S15-2119]:
Horacio Saggion
|
Francesco Ronzano
|
Francesco Barbieri
DsUniPi: An SVM-based Approach for Sentiment Analysis of Figurative
Language on Twitter
[S15-2120]:
Maria Karanasou
|
Christos Doulkeridis
|
Maria Halkidi
V3: Unsupervised Aspect Based Sentiment Analysis for SemEval2015 Task 12
[S15-2121]:
German Rigau
|
Montse Cuadros
|
Aitor García Pablos
LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis
[S15-2122]:
Veronique Hoste
|
Els Lefever
|
Orphee De Clercq
|
Marjan Van de Kauter
UFRGS: Identifying Categories and Targets in Customer Reviews
[S15-2123]:
Viviane Moreira
|
Anderson Kauer
SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis
[S15-2124]:
Salud M. Jiménez-Zafra
|
Eugenio Martínez-Cámara
|
M. Teresa Martín-Valdivia
|
L. Alfonso Ureña López
ECNU: Extracting Effective Features from Multiple Sequential Sentences for
Target-dependent Sentiment Analysis in Reviews
[S15-2125]:
Man Lan
|
Zhihua Zhang
UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based
Sentiment Analysis
[S15-2126]:
Ravikanth Repaka
|
Ranga Reddy Pallelra
|
Akshay Reddy Koppula
|
Venkata Subhash Movva
EliXa: A Modular and Flexible ABSA Platform
[S15-2127]:
Rodrigo Agerri
|
Xabier Saralegi
|
Iñaki San Vicente
Lsislif: CRF and Logistic Regression for Opinion Target Extraction and
Sentiment Polarity Analysis
[S15-2128]:
Patrice Bellot
|
Frederic Bechet
|
Hussam Hamdan
SIEL: Aspect Based Sentiment Analysis in Reviews
[S15-2129]:
Vasudeva Varma
|
Aditya Joshi
|
Satarupa Guha
Sentiue: Target and Aspect based Sentiment Analysis in SemEval-2015 Task 12
[S15-2130]:
José Saias
TJUdeM: A Combination Classifier for Aspect Category Detection and
Sentiment Polarity Classification
[S15-2131]:
Jian-Yun Nie
|
Hongling Wang
|
Zhifei Zhang
SemEval-2015 Task 4: TimeLine: Cross-Document Event Ordering
[S15-2132]:
Bernardo Magnini
|
German Rigau
|
Eneko Agirre
|
Manuela Speranza
|
Anne-Lyse Minard
|
Ruben Urizar
|
Itziar Aldabe
|
Marieke van Erp
SPINOZA_VU: An NLP Pipeline for Cross Document TimeLines
[S15-2133]:
Piek Vossen
|
Roser Morante
|
Tommaso Caselli
|
Antske Fokkens
SemEval-2015 Task 5: QA TempEval - Evaluating Temporal Information
Understanding with Question Answering
[S15-2134]:
James Allen
|
James Pustejovsky
|
Hector Llorens
|
Nathanael Chambers
|
Nasrin Mostafazadeh
|
Naushad UzZaman
HLT-FBK: a Complete Temporal Processing System for QA TempEval
[S15-2135]:
Paramita Mirza
|
Anne-Lyse Minard
SemEval-2015 Task 6: Clinical TempEval
[S15-2136]:
James Pustejovsky
|
Marc Verhagen
|
Steven Bethard
|
Leon Derczynski
|
Guergana Savova
BluLab: Temporal Information Extraction for the 2015 Clinical TempEval
Challenge
[S15-2137]:
Sumithra Velupillai
|
Wendy Chapman
|
Danielle L Mowery
|
Samir Abdelrahman
|
Lee Christensen
GPLSIUA: Combining Temporal Information and Topic Modeling for
Cross-Document Event Ordering
[S15-2138]:
Estela Saquete
|
Borja Navarro
HeidelToul: A Baseline Approach for Cross-document Event Ordering
[S15-2139]:
Jannik Strötgen
|
Michael Gertz
|
Bilel Moulahi
|
Lynda Tamine
HITSZ-ICRC: An Integration Approach for QA TempEval Challenge
[S15-2140]:
Qingcai Chen
|
Xiaolong Wang
|
Yongshuai Hou
|
Cong Tan
UFPRSheffield: Contrasting Rule-based and Support Vector Machine
Approaches to Time Expression Identification in Clinical TempEval
[S15-2141]:
Leon Derczynski
|
Genevieve Gorrell
|
Angus Roberts
|
Hegler Tissot
|
Marcos Didonet Del Fabro
IXAGroupEHUDiac: A Multiple Approach System towards the Diachronic
Evaluation of Texts
[S15-2142]:
Haritz Salaberri
|
Beñat Zapirain
|
Olatz Arregi
|
Iker Salaberri
USAAR-CHRONOS: Crawling the Web for Temporal Annotations
[S15-2143]:
Liling Tan
|
Noam Ordan
AMBRA: A Ranking Approach to Temporal Text Classification
[S15-2144]:
Liviu P. Dinu
|
Vlad Niculae
|
Marcos Zampieri
|
Alina Maria Ciobanu
IXAGroupEHUSpaceEval: (X-Space) A WordNet-based approach towards the
Automatic Recognition of Spatial Information following the ISO-Space
Annotation Scheme
[S15-2145]:
Haritz Salaberri
|
Beñat Zapirain
|
Olatz Arregi
UTD: Ensemble-Based Spatial Relation Extraction
[S15-2146]:
Vincent Ng
|
Jennifer D'Souza
SemEval 2015, Task 7: Diachronic Text Evaluation
[S15-2147]:
Carlo Strapparava
|
Octavian Popescu
UCD : Diachronic Text Classification with Character, Word, and Syntactic
N-grams
[S15-2148]:
Gerard Lynch
|
Terrence Szymanski
SemEval-2015 Task 8: SpaceEval
[S15-2149]:
Marie-Francine Moens
|
James Pustejovsky
|
Parisa Kordjamshidi
|
Aaron Levine
|
Zachary Yocum
|
Seth Dworman
SpRL-CWW: Spatial Relation Classification with Independent Multi-class Models
[S15-2150]:
Eric Nichols
|
Fadi Botros
SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval)
[S15-2151]:
Roberto Navigli
|
Paul Buitelaar
|
Stefano Faralli
|
Georgeta Bordea
INRIASAC: Simple Hypernym Extraction Methods
[S15-2152]:
Gregory Grefenstette
SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing
[S15-2153]:
Jan Hajic
|
Daniel Zeman
|
Yusuke Miyao
|
Stephan Oepen
|
Dan Flickinger
|
Marco Kuhlmann
|
Zdenka Uresova
|
Silvie Cinkova
Peking: Building Semantic Dependency Graphs with a Hybrid Parser
[S15-2154]:
Weiwei Sun
|
Xiaojun Wan
|
Fan Zhang
|
Xun Zhang
|
Yantao Du
USAAR-WLV: Hypernym Generation with Deep Neural Nets
[S15-2155]:
Liling Tan
|
Josef van Genabith
|
Rohit Gupta
NTNU: An Unsupervised Knowledge Approach for Taxonomy Extraction
[S15-2156]:
Bamfa Ceesay
|
Wen Juan Hou
LT3: A Multi-modular Approach to Automatic Taxonomy Construction
[S15-2157]:
Els Lefever
TALN-UPF: Taxonomy Learning Exploiting CRF-Based Hypernym Extraction on
Encyclopedic Definitions
[S15-2158]:
Horacio Saggion
|
Luis Espinosa Anke
|
Francesco Ronzano
QASSIT: A Pretopological Framework for the Automatic Construction of
Lexical Taxonomies from Raw Texts
[S15-2159]:
Gaël Dias
|
Davide Buscaldi
|
Guillaume Cleuziou
|
Vincent Levorato
|
Christine Largeron
Riga: from FrameNet to Semantic Frames with C6.0 Rules
[S15-2160]:
Guntis Barzdins
|
Peteris Paikens
|
Didzis Gosko
Turku: Semantic Dependency Parsing as a Sequence Classification
[S15-2161]:
Filip Ginter
|
Juhani Luotolahti
|
Jenna Kanerva
Lisbon: Evaluating TurboSemanticParser on Multiple Languages and
Out-of-Domain Data
[S15-2162]:
André F. T. Martins
|
Mariana S. C. Almeida
Proceedings of the 11th Workshop on Multiword Expressions
Proceedings of the 11th Workshop on Multiword Expressions
[W15-0900]:
A Method of Accounting Bigrams in Topic Models
[W15-0901]:
Michael Nokel
|
Natalia Loukachevitch
Multiword Expression Identification with Recurring Tree Fragments and
Association Measures
[W15-0902]:
Federico Sangati
|
Andreas van Cranenburgh
How to Account for Idiomatic German Support Verb Constructions in
Statistical Machine Translation
[W15-0903]:
Fabienne Cap
|
Manju Nirmal
|
Marion Weller
|
Sabine Schulte im Walde
A Multiword Expression Data Set: Annotating Non-Compositionality and
Conventionalization for English Noun Compounds
[W15-0904]:
Meghdad Farahmand
|
Aaron Smith
|
Joakim Nivre
Modeling the Statistical Idiosyncrasy of Multiword Expressions
[W15-0905]:
Meghdad Farahmand
|
Joakim Nivre
Clustering-based Approach to Multiword Expression Extraction and Ranking
[W15-0906]:
Elena Tutubalina
How Constructions Mean
[W15-0907]:
Paul Kay
|
Laura A. Michaelis
Never-Ending Multiword Expressions Learning
[W15-0908]:
Alexandre Rondon
|
Helena Caseli
|
Carlos Ramisch
The Impact of Multiword Expression Compositionality on Machine
Translation Evaluation
[W15-0909]:
Bahar Salehi
|
Nitika Mathur
|
Paul Cook
|
Timothy Baldwin
The Bare Necessities: Increasing Lexical Coverage for Multi-Word Domain
Terms with Less Lexical Data
[W15-0910]:
Branimir Boguraev
|
Esme Manandise
|
Benjamin Segal
Phrase translation using a bilingual dictionary and n-gram data: A case
study from Vietnamese to English
[W15-0911]:
Khang Nhut Lam
|
Feras Al Tarouti
|
Jugal Kalita
Annotation and Extraction of Multiword Expressions in Turkish Treebanks
[W15-0912]:
Gülşen Eryiğit
|
Kübra ADALI
|
Dilara Torunoğlu-Selamet
|
Umut Sulubacak
|
Tuğba Pamay
Event Categorization beyond Verb Senses
[W15-0913]:
Aron Marvel
|
Jean-Pierre Koenig
Muddying The Multiword Expression Waters: How Cognitive Demand Affects
Multiword Expression Production
[W15-0914]:
Adam Goodkind
|
Andrew Rosenberg
Building a Lexicon of Formulaic Language for Language Learners
[W15-0915]:
Julian Brooke
|
Adam Hammond
|
David Jacob
|
Vivian Tsang
|
Graeme Hirst
|
Fraser Shein
Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in
Statistical Translation
Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in
Statistical Translation
[W15-1000]:
Dekai Wu
|
Marine Carpuat
|
Eneko Agirre
|
Nora Aranberri
Harmonizing word alignments and syntactic structures for extracting
phrasal translation equivalents
[W15-1001]:
Dun Deng
|
Nianwen Xue
|
Shiman Guo
Non-projective Dependency-based Pre-Reordering with Recurrent Neural
Network for Machine Translation
[W15-1002]:
Antonio Valerio Miceli Barone
|
Giuseppe Attardi
Translating Negation: Induction, Search And Model Errors
[W15-1003]:
Federico Fancellu
|
Bonnie Webber
SMT error analysis and mapping to syntactic, semantic and structural fixes
[W15-1004]:
Nora Aranberri
Unsupervised False Friend Disambiguation Using Contextual Word Clusters
and Parallel Word Alignments
[W15-1005]:
Maryam Aminian
|
Mahmoud Ghoneim
|
Mona Diab
METEOR-WSD: Improved Sense Matching in MT Evaluation
[W15-1006]:
Marianna Apidianaki
|
Benjamin Marie
Analyzing English-Spanish Named-Entity enhanced Machine Translation
[W15-1007]:
Mikel Artetxe
|
Eneko Agirre
|
Iñaki Alegria
|
Gorka Labaka
Predicting Prepositions for SMT
[W15-1008]:
Marion Weller
|
Alexander Fraser
|
Sabine Schulte im Walde
Translation reranking using source phrase dependency features
[W15-1009]:
Antonio Valerio Miceli Barone
Semantics-based pretranslation for SMT using fuzzy matches
[W15-1010]:
Tom Vanallemeersch
|
Vincent Vandeghinste
What Matters Most in Morphologically Segmented SMT Models?
[W15-1011]:
Mohammad Salameh
|
Colin Cherry
|
Grzegorz Kondrak
Improving Chinese-English PropBank Alignment
[W15-1012]:
Shumin Wu
|
Martha Palmer
Proceedings of the First Workshop on Linking Computational Models of
Lexical, Sentential and Discourse-level Semantics
Proceedings of the First Workshop on Linking Computational Models of
Lexical, Sentential and Discourse-level Semantics
[W15-2700]:
Michael Roth
|
Annie Louis
|
Bonnie Webber
|
Tim Baldwin
An Exploration of Discourse-Based Sentence Spaces for Compositional
Distributional Semantics
[W15-2701]:
Tamara Polajnar
|
Laura Rimell
|
Stephen Clark
Linking discourse modes and situation entity types in a cross-linguistic
corpus study
[W15-2702]:
Kleio-Isidora Mavridou
|
Annemarie Friedrich
|
Melissa Peate Sørensen
|
Alexis Palmer
|
Manfred Pinkal
Recovering discourse relations: Varying influence of discourse adverbials
[W15-2703]:
Hannah Rohde
|
Anna Dickinson
|
Chris Clark
|
Annie Louis
|
Bonnie Webber
Semantics and Discourse Processing for Expressive TTS
[W15-2704]:
Rodolfo Delmonte
|
Rocco Tripodi
Semantically Enriched Models for Modal Sense Classification
[W15-2705]:
Mengfei Zhou
|
Anette Frank
|
Annemarie Friedrich
|
Alexis Palmer
Identification and Disambiguation of Lexical Cues of Rhetorical Relations
across Different Text Genres
[W15-2706]:
Taraneh Khazaei
|
Lu Xiao
|
Robert Mercer
Bridging Sentential and Discourse-level Semantics through Clausal Adjuncts
[W15-2707]:
Rashmi Prasad
|
Bonnie Webber
|
Alan Lee
|
Sameer Pradhan
|
Aravind Joshi
Lexical Level Distribution of Metadiscourse in Spoken Language
[W15-2708]:
Rui Correia
|
Maxine Eskenazi
|
Nuno Mamede
Idiom Paraphrases: Seventh Heaven vs Cloud Nine
[W15-2709]:
Maria Pershina
|
Yifan He
|
Ralph Grishman
Where Was Alexander the Great in 325 BC? Toward Understanding History
Text with a World Model
[W15-2710]:
Yuki Murakami
|
Yoshimasa Tsuruoka
Predicting word sense annotation agreement
[W15-2711]:
Héctor Martínez Alonso
|
Anders Johannsen
|
Oier Lopez de Lacalle
|
Eneko Agirre
Distributional Semantics in Use
[W15-2712]:
Raffaella Bernardi
|
Gemma Boleda
|
Raquel Fernandez
|
Denis Paperno
Proceedings of Workshop on Lexical and Grammatical Resources for Language
Processing
Proceedings of Workshop on Lexical and Grammatical Resources for Language
Processing
[W14-5800]:
Jorge Baptista
|
Pushpak Bhattacharyya
|
Christiane Fellbaum
|
Mikel Forcada
|
Chu-Ren Huang
|
Svetla Koeva
|
Cvetana Krstev
|
Eric Laporte
Paraphrasing of Italian Support Verb Constructions based on Lexical and
Grammatical Resources
[W14-5801]:
Konstantinos Chatzitheodorou
Using language technology resources and tools to construct Swedish FrameNet
[W14-5802]:
Dana Dannells
|
Karin Friberg Heppin
|
Anna Ehrlemark
Harmonizing Lexical Data for their Linking to Knowledge Objects in the
Linked Data Framework
[W14-5803]:
Thierry Declerck
Terminology and Knowledge Representation. Italian Linguistic Resources for
the Archaeological Domain
[W14-5804]:
Maria Pia di Buono
|
Mario Monteleone
|
Annibale Elia
SentiMerge: Combining Sentiment Lexicons in a Bayesian Framework
[W14-5805]:
Guy Emerson
|
Thierry Declerck
Linguistically motivated Language Resources for Sentiment Analysis
[W14-5806]:
Voula Giouli
|
Aggeliki Fotopoulou
Using Morphosemantic Information in Construction of a Pilot Lexical
Semantic Resource for Turkish
[W14-5807]:
Gözde Gül İşgüder
|
Eşref Adalı
Comparing Czech and English AMRs
[W14-5808]:
Jan Hajic
|
Ondrej Bojar
|
Zdenka Uresova
Acquisition and enrichment of morphological and morphosemantic knowledge
from the French Wiktionary
[W14-5809]:
Nabil Hathout
|
Franck Sajous
|
Basilio Calderone
Annotation and Classification of Light Verbs and Light Verb Variations in
Mandarin Chinese
[W14-5810]:
Jingxia Lin
|
Hongzhi Xu
|
Menghan JIANG
|
Chu-Ren Huang
Extended phraseological information in a valence dictionary for NLP
applications
[W14-5811]:
Adam Przepiórkowski
|
Elżbieta Hajnicz
|
Agnieszka Patejuk
|
Marcin Woliński
The fuzzy boundaries of operator verb and support verb constructions with
dar “give” and ter “have” in Brazilian Portuguese
[W14-5812]:
Amanda Rassi
|
Cristina Santos-Turati
|
Jorge Baptista
|
Nuno Mamede
|
Oto Vale
Collaboratively Constructed Linguistic Resources for Language Variants and
their Exploitation in NLP Application – the case of Tunisian Arabic and
the Social Media
[W14-5813]:
Fatiha Sadat
|
Fatma Mallek
|
Mohamed Boudabous
|
Rahma Sellami
|
Atefeh Farzindar
A Database of Paradigmatic Semantic Relation Pairs for German Nouns,
Verbs, and Adjectives
[W14-5814]:
Silke Scheible
|
Sabine Schulte im Walde
Improving the Precision of Synset Links Between Cornetto and Princeton WordNet
[W14-5815]:
Leen Sevens
|
Vincent Vandeghinste
|
Frank Van Eynde
Light verb constructions with `do' and `be' in Hindi: A TAG analysis
[W14-5816]:
Ashwini Vaidya
|
Owen Rambow
|
Martha Palmer
The Lexicon-Grammar of Italian Idioms
[W14-5817]:
Simonetta Vietri
Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A
Practice of Crowdsourcing Methodology
[W14-5818]:
Shichang Wang
|
Chu-Ren Huang
|
Yao Yao
|
Angel Chan
Annotate and Identify Modalities, Speech Acts and Finer-Grained Event
Types in Chinese Text
[W14-5819]:
Hongzhi Xu
|
Chu-Ren Huang
Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)
Proceedings of the 4th Workshop on Cognitive Aspects of the Lexicon (CogALex)
[W14-4700]:
Michael Zock
|
Reinhard Rapp
|
Chu-Ren Huang
The CogALex-IV Shared Task on the Lexical Access Problem
[W14-4701]:
Reinhard Rapp
|
Michael Zock
A Two-Stage Approach for Computing Associative Responses to a Set of
Stimulus Words
[W14-4702]:
Urmi Ghosh
|
Sambhav Jain
|
Paul Soma
Deep Learning from Web-Scale Corpora for Better Dictionary Interfaces
[W14-4703]:
Pavel Smrz
|
Lubomir Otrusina
Exploring the use of word embeddings and random walks on Wikipedia for the
CogAlex shared task
[W14-4704]:
Josu Goikoetxea
|
Eneko Agirre
|
Aitor Soroa
ETS Lexical Associations System for the COGALEX-4 Shared Task
[W14-4705]:
Michael Flor
|
Beata Beigman Klebanov
Using Significant Word Co-occurences for the Lexical Access Problem
[W14-4706]:
Rico Feist
|
Daniel Gerighausen
|
Manuel Konrad
|
Georg Richter
|
Thomas Eckart
|
Dirk Goldhahn
|
Uwe Quasthoff
NaDiR: Naive Distributional Response Generation
[W14-4707]:
Gabriella Lapesa
|
Stefan Evert
Retrieving Word Associations with a Simple Neighborhood Algorithm in a
Graph-based Resource
[W14-4708]:
Gemma Bel Enguix
Predicting sense convergence with distributional semantics: an application
to the CogaLex 2014 shared task
[W14-4709]:
Laurianne Sitbon
|
Lance De Vine
WordFinder
[W14-4710]:
Catalin Mititelu
|
Verginica Barbu Mititelu
(Digital) Goodies from the ERC Wishing Well: BabelNet, Babelfy, Video
Games with a Purpose and the Wikipedia Bitaxonomy
[W14-4711]:
Roberto Navigli
Measuring Similarity from Word Pair Matrices with Syntagmatic and
Paradigmatic Associations
[W14-4712]:
Jin Matsuoka
|
Yves Lepage
Jibiki-LINKS: a tool between traditional dictionaries and lexical networks
for modelling lexical resources
[W14-4713]:
Ying Zhang
|
Mathieu Mangeot
|
Valérie Bellynck
|
Christian Boitet
When Frequency Data Meet Dispersion Data in the Extraction of Multi-word
Units from a Corpus: A Study of Trigrams in Chinese
[W14-4714]:
Chan-Chia Hsu
Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing
Method for Linguistic Experiments
[W14-4715]:
Shichang Wang
|
Chu-Ren Huang
|
Yao Yao
|
Angel Chan
A Computational Approach to Generate a Sensorial Lexicon
[W14-4716]:
Serra Sinem Tekiroglu
|
Gözde Özbal
|
Carlo Strapparava
Database Design of an Online E-Learning Tool of Chinese Classifiers
[W14-4717]:
Helena Gao
Default Physical Measurements in SUMO
[W14-4718]:
Francesca Quattri
|
Pease Adam
|
John P. McCrae
Lexical Access Preference and Constraint Strategies for Improving
Multiword Expression Association within Semantic MT Evaluation
[W14-4719]:
Dekai Wu
|
Chi-kiu Lo
|
Markus Saers
A Lexical Network with a Morphological Model in It
[W14-4720]:
Nabil Gader
|
Aurore Koehl
|
Alain Polguère
Dimensions of Metaphorical Meaning
[W14-4721]:
Andrew Gargett
|
Josef Ruppenhofer
|
John Barnden
Constructing an Ontology of Japanese Lexical Properties: Specifying its
Property Structures and Lexical Entries
[W14-4722]:
Terry Joyce
|
Bor Hodošček
Frames and terminology: representing predicative terms in the field of the
environment
[W14-4723]:
Marie-Claude L' Homme
|
Benoît Robichaud
Modelling the Semantics of Adjectives in the Ontology-Lexicon Interface
[W14-4724]:
John P. McCrae
|
Francesca Quattri
|
Christina Unger
|
Philipp Cimiano
Discovering Conceptual Metaphors using Source Domain Spaces
[W14-4725]:
Samira Shaikh
|
Tomek Strzalkowski
|
Kit Cho
|
Ting Liu
|
George Aaron Broadwell
|
Laurie Feldman
|
Sarah Taylor
|
Boris Yamrom
|
Ching-Sheng Lin
|
Ning Sa
|
Ignacio Cases
|
Yuliya Peshkova
|
Kyle Elliot
Wordfinding Problems and How to Overcome them Ultimately With the Help of
a Computer
[W14-4726]:
Michael Zock
Proceedings of the Third Joint Conference on Lexical and Computational
Semantics (*SEM 2014)
Proceedings of the Third Joint Conference on Lexical and Computational
Semantics (*SEM 2014)
[S14-1000]:
Johan Bos
|
Anette Frank
|
Roberto Navigli
More or less supervised supersense tagging of Twitter
[S14-1001]:
Anders Johannsen
|
Dirk Hovy
|
Héctor Martínez Alonso
|
Barbara Plank
|
Anders Søgaard
Generating a Word-Emotion Lexicon from #Emotional Tweets
[S14-1002]:
Anil Bandhakavi
|
Nirmalie Wiratunga
|
Deepak P
|
Stewart Massie
Improvement of a Naive Bayes Sentiment Classifier Using MRS-Based Features
[S14-1003]:
Jared Kramer
|
Clara Gordon
Sense and Similarity: A Study of Sense-level Similarity Measures
[S14-1004]:
Nicolai Erbs
|
Iryna Gurevych
|
Torsten Zesch
An Iterative `Sudoku Style' Approach to Subgraph-based Word Sense
Disambiguation
[S14-1005]:
Steve L. Manion
|
Raazesh Sainudiin
Exploring ESA to Improve Word Relatedness
[S14-1006]:
Nitish Aggarwal
|
Kartik Asooja
|
Paul Buitelaar
Identifying semantic relations in a specialized corpus through
distributional analysis of a cooccurrence tensor
[S14-1007]:
Gabriel Bernier-Colborne
Learning the Peculiar Value of Actions
[S14-1008]:
Daniel Dahlmeier
An analysis of textual inference in German customer emails
[S14-1009]:
Kathrin Eichler
|
Aleksandra Gabryszak
|
Günter Neumann
Text Summarization through Entailment-based Minimum Vertex Cover
[S14-1010]:
Anand Gupta
|
Manpreet Kaur
|
Shachar Mirkin
|
Adarsh Singh
|
Aseem Goyal
Semantic Roles in Grammar Engineering
[S14-1011]:
Wojciech Jaworski
|
Adam Przepiórkowski
Semantic Role Labelling with minimal resources: Experiments with French
[S14-1012]:
Rasoul Kaljahi
|
Jennifer Foster
|
Johann Roturier
Compositional Distributional Semantics Models in Chunk-based Smoothed
Tree Kernels
[S14-1013]:
Nghia The Pham
|
Lorenzo Ferrone
|
Fabio Massimo Zanzotto
Generating Simulations of Motion Events from Verbal Descriptions
[S14-1014]:
James Pustejovsky
|
Nikhil Krishnaswamy
See No Evil, Say No Evil: Description Generation from Densely Labeled Images
[S14-1015]:
Mark Yatskar
|
Michel Galley
|
Lucy Vanderwende
|
Luke Zettlemoyer
Extracting Latent Attributes from Video Scenes Using Text as Background
Knowledge
[S14-1016]:
Anh Tran
|
Mihai Surdeanu
|
Paul Cohen
Using Text Segmentation Algorithms for the Automatic Generation of
E-Learning Courses
[S14-1017]:
Can Özmen
|
Alexander Streicher
|
Andrea Zielinski
Cognitive Compositional Semantics using Continuation Dependencies
[S14-1018]:
William Schuler
|
Adam Wheeler
Vagueness and Learning: A Type-Theoretic Approach
[S14-1019]:
Raquel Fernandez
|
Staffan Larsson
Contrasting Syntagmatic and Paradigmatic Relations: Insights from
Distributional Semantic Models
[S14-1020]:
Gabriella Lapesa
|
Stefan Evert
|
Sabine Schulte im Walde
Dead parrots make bad pets: Exploring modifier effects in noun phrases
[S14-1021]:
Germán Kruszewski
|
Marco Baroni
Syntactic Transfer Patterns of German Particle Verbs and their Impact on
Lexical Semantics
[S14-1022]:
Stefan Bott
|
Sabine Schulte im Walde
Proceedings of the 8th International Workshop on Semantic Evaluation
(SemEval 2014)
Proceedings of the 8th International Workshop on Semantic Evaluation
(SemEval 2014)
[S14-2000]:
Preslav Nakov
|
Torsten Zesch
SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic
Models on Full Sentences through Semantic Relatedness and Textual
Entailment
[S14-2001]:
Marco Marelli
|
Luisa Bentivogli
|
Marco Baroni
|
Raffaella Bernardi
|
Stefano Menini
|
Roberto Zamparelli
SemEval-2014 Task 2: Grammar Induction for Spoken Dialogue Systems
[S14-2002]:
Ioannis Klasinas
|
Elias Iosif
|
Katerina Louka
|
Alexandros Potamianos
SemEval-2014 Task 3: Cross-Level Semantic Similarity
[S14-2003]:
David Jurgens
|
Mohammad Taher Pilehvar
|
Roberto Navigli
SemEval-2014 Task 4: Aspect Based Sentiment Analysis
[S14-2004]:
Maria Pontiki
|
Dimitris Galanis
|
John Pavlopoulos
|
Harris Papageorgiou
|
Ion Androutsopoulos
|
Suresh Manandhar
SemEval 2014 Task 5 - L2 Writing Assistant
[S14-2005]:
Maarten van Gompel
|
Iris Hendrickx
|
Antal van den Bosch
|
Els Lefever
|
Veronique Hoste
SemEval-2014 Task 6: Supervised Semantic Parsing of Robotic Spatial Commands
[S14-2006]:
Kais Dukes
SemEval-2014 Task 7: Analysis of Clinical Text
[S14-2007]:
Sameer Pradhan
|
Noémie Elhadad
|
Wendy Chapman
|
Suresh Manandhar
|
Guergana Savova
SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing
[S14-2008]:
Stephan Oepen
|
Marco Kuhlmann
|
Yusuke Miyao
|
Daniel Zeman
|
Dan Flickinger
|
Jan Hajic
|
Angelina Ivanova
|
Yi Zhang
SemEval-2014 Task 9: Sentiment Analysis in Twitter
[S14-2009]:
Sara Rosenthal
|
Alan Ritter
|
Preslav Nakov
|
Veselin Stoyanov
SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
[S14-2010]:
Eneko Agirre
|
Carmen Banea
|
Claire Cardie
|
Daniel Cer
|
Mona Diab
|
Aitor Gonzalez-Agirre
|
Weiwei Guo
|
Rada Mihalcea
|
German Rigau
|
Janyce Wiebe
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity
[S14-2011]:
Osman Baskaya
Alpage: Transition-based Semantic Graph Parsing with Syntactic Features
[S14-2012]:
Corentin Ribeyre
|
Eric Villemonte de la Clergerie
|
Djamé Seddah
ASAP: Automatic Semantic Alignment for Phrases
[S14-2013]:
Ana Alves
|
Adriana Ferrugento
|
Mariana Lourenço
|
Filipe Rodrigues
AT&T: The Tag&Parse Approach to Semantic Parsing of Robot Spatial
Commands
[S14-2014]:
Svetlana Stoyanchev
|
Hyuckchul Jung
|
John Chen
|
Srinivas Bangalore
AUEB: Two Stage Sentiment Analysis of Social Network Messages
[S14-2015]:
Rafael - Michael Karampatsis
|
John Pavlopoulos
|
Prodromos Malakasiotis
Bielefeld SC: Orthonormal Topic Modelling for Grammar Induction
[S14-2016]:
John Philip McCrae
|
Philipp Cimiano
Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble
[S14-2017]:
Nádia Silva
|
Estevam Hruschka
|
Eduardo Hruschka
Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble
[S14-2018]:
Nádia Silva
|
Estevam Hruschka
|
Eduardo Hruschka
BioinformaticsUA: Concept Recognition in Clinical Narratives Using a
Modular and Highly Efficient Text Processing Framework
[S14-2019]:
Sérgio Matos
|
Tiago Nunes
|
José Luís Oliveira
Blinov: Distributed Representations of Words for Aspect-Based Sentiment
Analysis at SemEval 2014
[S14-2020]:
Pavel Blinov
|
Eugeny Kotelnikov
BUAP: Evaluating Compositional Distributional Semantic Models on Full
Sentences through Semantic Relatedness and Textual Entailment
[S14-2021]:
Saul Leon
|
Darnes Vilariño
|
David Pinto
|
Mireya Tovar
|
Beatriz Beltrán
BUAP: Evaluating Features for Multilingual and Cross-Level Semantic
Textual Similarity
[S14-2022]:
Darnes Vilariño
|
David Pinto
|
Saul Leon
|
Mireya Tovar
|
Beatriz Beltrán
BUAP: Polarity Classification of Short Texts
[S14-2023]:
David Pinto
|
Darnes Vilariño
|
Saul Leon
|
Miguel Jasso
|
Cupertino Lucero
CECL: a New Baseline and a Non-Compositional Approach for the Sick Benchmark
[S14-2024]:
Yves Bestgen
CISUC-KIS: Tackling Message Polarity Classification with a Large and
Diverse Set of Features
[S14-2025]:
João Leal
|
Sara Pinto
|
Ana Bento
|
Hugo Gonçalo Oliveira
|
Paulo Gomes
Citius: A Naive-Bayes Strategy for Sentiment Analysis on English Tweets
[S14-2026]:
Pablo Gamallo
|
Marcos Garcia
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing
[S14-2027]:
Sam Thomson
|
Brendan O'Connor
|
Jeffrey Flanigan
|
David Bamman
|
Jesse Dodge
|
Swabha Swayamdipta
|
Nathan Schneider
|
Chris Dyer
|
Noah A. Smith
CMUQ-Hybrid: Sentiment Classification By Feature Engineering and
Parameter Tuning
[S14-2028]:
Kamla Al-Mannai
|
Hanan Alshikhabobakr
|
Sabih Bin Wasi
|
Rukhsar Neyaz
|
Houda Bouamor
|
Behrang Mohit
CMUQ$@$Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter
[S14-2029]:
Sabih Bin Wasi
|
Rukhsar Neyaz
|
Houda Bouamor
|
Behrang Mohit
CNRC-TMT: Second Language Writing Assistant System Description
[S14-2030]:
Cyril Goutte
|
Michel Simard
|
Marine Carpuat
Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in
Social Media
[S14-2031]:
Sara Rosenthal
|
Kathy McKeown
|
Apoorv Agarwal
COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis
[S14-2032]:
Kim Schouten
|
Flavius Frasincar
|
Franciska de Jong
Coooolll: A Deep Learning System for Twitter Sentiment Classification
[S14-2033]:
Duyu Tang
|
Furu Wei
|
Bing Qin
|
Ting Liu
|
Ming Zhou
Copenhagen-Malmö: Tree Approximations of Semantic Parsing Problems
[S14-2034]:
Natalie Schluter
|
Anders Søgaard
|
Jakob Elming
|
Dirk Hovy
|
Barbara Plank
|
Héctor Martínez Alonso
|
Anders Johanssen
|
Sigrid Klerke
DAEDALUS at SemEval-2014 Task 9: Comparing Approaches for Sentiment
Analysis in Twitter
[S14-2035]:
Julio Villena-Román
|
Janine García-Morera
|
José Carlos González-Cristóbal
DCU: Aspect-based Polarity Classification for SemEval Task 4
[S14-2036]:
Joachim Wagner
|
Piyush Arora
|
Santiago Cortes
|
Utsab Barman
|
Dasha Bogdanova
|
Jennifer Foster
|
Lamia Tounsi
DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity
[S14-2037]:
Magdalena Kacmajor
|
John D. Kelleher
DLIREC: Aspect Term Extraction and Term Polarity Classification System
[S14-2038]:
Zhiqiang Toh
|
Wenting Wang
DLS$@$CU: Sentence Similarity from Word Alignment
[S14-2039]:
Md Arafat Sultan
|
Steven Bethard
|
Tamara Sumner
Duluth : Measuring Cross-Level Semantic Similarity with First and Second
Order Dictionary Overlaps
[S14-2040]:
Ted Pedersen
ECNU: A Combination Method and Multiple Features for Aspect Extraction
and Sentiment Polarity Classification
[S14-2041]:
Fangxi Zhang
|
Zhihua Zhang
|
Man Lan
ECNU: Expression- and Message-level Sentiment Orientation Classification
in Twitter Using Multiple Effective Features
[S14-2042]:
Jiang Zhao
|
Man Lan
|
Tiantian Zhu
ECNU: Leveraging on Ensemble of Heterogeneous Features and Information
Enrichment for Cross Level Semantic Similarity Estimation
[S14-2043]:
Tiantian Zhu
|
Man Lan
ECNU: One Stone Two Birds: Ensemble of Heterogenous Measures for Semantic
Relatedness and Textual Entailment
[S14-2044]:
Jiang Zhao
|
Tiantian Zhu
|
Man Lan
ezDI: A Hybrid CRF and SVM based Model for Detecting and Encoding
Disorder Mentions in Clinical Notes
[S14-2045]:
Parth Pathak
|
Pinal Patel
|
Vishal Panchal
|
Narayan Choudhary
|
Amrish Patel
|
Gautam Joshi
FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level
Semantic Similarity
[S14-2046]:
Ngoc Phuoc An Vo
|
Tommaso Caselli
|
Octavian Popescu
FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE
[S14-2047]:
Ngoc Phuoc An Vo
|
Octavian Popescu
|
Tommaso Caselli
GPLSI: Supervised Sentiment Analysis in Twitter using Skipgrams
[S14-2048]:
Javi Fernández
|
Yoan Gutiérrez
|
Jose Manuel Gómez
|
Patricio Martinez-Barco
haLF: Comparing a Pure CDSM Approach with a Standard Machine Learning
System for RTE
[S14-2049]:
Lorenzo Ferrone
|
Fabio Massimo Zanzotto
HulTech: A General Purpose System for Cross-Level Semantic Similarity
based on Anchor Web Counts
[S14-2050]:
Jose G. Moreno
|
Rumen Moraliyski
|
Asma Berrezoug
|
Gaël Dias
IHS R&D Belarus: Cross-domain extraction of product features using CRF
[S14-2051]:
Maryna Chernyshevich
IITP: A Supervised Approach for Disorder Mention Detection and Disambiguation
[S14-2052]:
Utpal Kumar Sikdar
|
Asif Ekbal
|
Sriparna Saha
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis
[S14-2053]:
Deepak Kumar Gupta
|
Asif Ekbal
IITPatna: Supervised Approach for Sentiment Analysis in Twitter
[S14-2054]:
Raja Selvarajan
|
Asif Ekbal
Illinois-LH: A Denotational and Distributional Approach to Semantics
[S14-2055]:
Alice Lai
|
Julia Hockenmaier
In-House: An Ensemble of Pre-Existing Off-the-Shelf Parsers
[S14-2056]:
Yusuke Miyao
|
Stephan Oepen
|
Daniel Zeman
Indian Institute of Technology-Patna: Sentiment Analysis in Twitter
[S14-2057]:
VIKRAM SINGH
|
Arif Md. Khan
|
Asif Ekbal
INSIGHT Galway: Syntactic and Lexical Features for Aspect Based Sentiment
Analysis
[S14-2058]:
Sapna Negi
|
Paul Buitelaar
iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries
[S14-2059]:
Fritjof Bornebusch
|
Glaucia Cancino
|
Melanie Diepenbeck
|
Rolf Drechsler
|
Smith Djomkam
|
Alvine Nzeungang Fanseu
|
Maryam Jalali
|
Marc Michael
|
Jamal Mohsen
|
Max Nitze
|
Christina Plump
|
Mathias Soeken
|
Fred Tchambo
|
Toni
|
Henning Ziegler
IUCL: Combining Information Sources for SemEval Task 5
[S14-2060]:
Alex Rudnick
|
Levi King
|
Can Liu
|
Markus Dickinson
|
Sandra Kübler
IxaMed: Applying Freeling and a Perceptron Sequential Tagger at the
Shared Task on Analyzing Clinical Texts
[S14-2061]:
Koldo Gojenola
|
Maite Oronoz
|
Alicia Perez
|
Arantza Casillas
JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest
[S14-2062]:
Oliver Dürr
|
Fatih Uzdilli
|
Mark Cieliebak
JU_CSE: A Conditional Random Field (CRF) Based Approach to Aspect Based
Sentiment Analysis
[S14-2063]:
Braja Gopal Patra
|
Soumik Mandal
|
Dipankar Das
|
Sivaji Bandyopadhyay
JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using
Discourse Information
[S14-2064]:
Swarnendu Ghosh
|
Nibaran Das
|
Teresa Gonçalves
|
Paulo Quaresma
Kea: Sentiment Analysis of Phrases Within Short Texts
[S14-2065]:
Ameeta Agrawal
|
Aijun An
KUL-Eval: A Combinatory Categorial Grammar Approach for Improving
Semantic Parsing of Robot Commands using Spatial Context
[S14-2066]:
Willem Mattelaer
|
Mathias Verbeke
|
Davide Nitti
KUNLPLab:Sentiment Analysis on Twitter Data
[S14-2067]:
Beakal Gizachew Assefa
Linköping: Cubic-Time Graph Parsing with a Simple Scoring Scheme
[S14-2068]:
Marco Kuhlmann
LIPN: Introducing a new Geographical Context Similarity Measure and a
Statistical Similarity Measure based on the Bhattacharyya coefficient
[S14-2069]:
Davide Buscaldi
|
Jorge García Flores
|
Joseph Le Roux
|
Nadi Tomeh
|
Belém Priego Sanchez
LT3: Sentiment Classification in User-Generated Content Using a Rich
Feature Set
[S14-2070]:
Cynthia Van Hee
|
Marjan Van de Kauter
|
Orphee De Clercq
|
Els Lefever
|
Veronique Hoste
LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English
[S14-2071]:
David Vilares
|
Miguel Hermo
|
Miguel A. Alonso
|
Carlos Gómez-Rodríguez
|
Yerai Doval
Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems
[S14-2072]:
Abhay Kashyap
|
Lushan Han
|
Roberto Yus
|
Jennifer Sleeman
|
Taneeya Satyapanich
|
Sunil Gandhi
|
Tim Finin
MindLab-UNAL: Comparing Metamap and T-mapper for Medical Concept
Extraction in SemEval 2014 Task 7
[S14-2073]:
Alejandro Riveros
|
Maria De Arteaga
|
Fabio González
|
Sergio Jimenez
|
Henning Müller
NILC_USP: An Improved Hybrid System for Sentiment Analysis in Twitter Messages
[S14-2074]:
Pedro Balage Filho
|
Lucas Avanço
|
Thiago Pardo
|
Maria das Graças Volpe Nunes
NILC_USP: Aspect Extraction using Semantic Labels
[S14-2075]:
Pedro Balage Filho
|
Thiago Pardo
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
[S14-2076]:
Svetlana Kiritchenko
|
Xiaodan Zhu
|
Colin Cherry
|
Saif Mohammad
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets
[S14-2077]:
Xiaodan Zhu
|
Svetlana Kiritchenko
|
Saif Mohammad
NTNU: Measuring Semantic Similarity with Sublexical Feature
Representations and Soft Cardinality
[S14-2078]:
André Lynum
|
Partha Pakray
|
Björn Gambäck
|
Sergio Jimenez
OPI: Semeval-2014 Task 3 System Description
[S14-2079]:
Marek Kozlowski
Peking: Profiling Syntactic Tree Parsing Techniques for Semantic Graph Parsing
[S14-2080]:
Yantao Du
|
Fan Zhang
|
Weiwei Sun
|
Xiaojun Wan
Potsdam: Semantic Dependency Parsing by Bidirectional Graph-Tree
Transformations and Syntactic Parsing
[S14-2081]:
Željko Agić
|
Alexander Koller
Priberam: A Turbo Semantic Parser with Second Order Features
[S14-2082]:
André F. T. Martins
|
Mariana S. C. Almeida
RelAgent: Entity Detection and Normalization for Diseases in Clinical
Records: a Linguistically Driven Approach
[S14-2083]:
SV Ramanan
|
Senthil Nathan
RoBox: CCG with Structured Perceptron for Supervised Semantic Parsing of
Robotic Spatial Commands
[S14-2084]:
Kilian Evang
|
Johan Bos
RTM-DCU: Referential Translation Machines for Semantic Similarity
[S14-2085]:
Ergun Bicici
|
Andy Way
RTRGO: Enhancing the GU-MLT-LT System for Sentiment Analysis of Short Messages
[S14-2086]:
Tobias Günther
|
Jean Vancoppenolle
|
Richard Johansson
SA-UZH: Verb-based Sentiment Analysis
[S14-2087]:
Nora Hollenstein
|
Michael Amsler
|
Martina Bachmann
|
Manfred Klenner
SAIL-GRS: Grammar Induction for Spoken Dialogue Systems using CF-IRF Rule
Similarity
[S14-2088]:
Kalliopi Zervanou
|
Nikolaos Malandrakis
|
Shrikanth Narayanan
SAIL: Sentiment Analysis using Semantic Similarity and Contrast Features
[S14-2089]:
Nikolaos Malandrakis
|
Michael Falcone
|
Colin Vaz
|
Jesse James Bisogni
|
Alexandros Potamianos
|
Shrikanth Narayanan
SAP-RI: A Constrained and Supervised Approach for Aspect-Based Sentiment
Analysis
[S14-2090]:
Naveen Nandan
|
Daniel Dahlmeier
|
Akriti Vij
|
Nishtha Malhotra
SAP-RI: Twitter Sentiment Analysis in Two Days
[S14-2091]:
Akriti Vij
|
Nishta Malhotra
|
Naveen Nandan
|
Daniel Dahlmeier
SeemGo: Conditional Random Fields Labeling and Maximum Entropy
Classification for Aspect Based Sentiment Analysis
[S14-2092]:
Pengfei Liu
|
Helen Meng
SemantiKLUE: Robust Semantic Similarity at Multiple Levels Using Maximum
Weight Matching
[S14-2093]:
Thomas Proisl
|
Stefan Evert
|
Paul Greiner
|
Besim Kabashi
Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing
Process
[S14-2094]:
Liling Tan
|
Anne Schumann
|
Jose Martinez
|
Francis Bond
Senti.ue: Tweet Overall Sentiment Classification Approach for
SemEval-2014 Task 9
[S14-2095]:
José Saias
SentiKLUE: Updating a Polarity Classifier in 48 Hours
[S14-2096]:
Stefan Evert
|
Thomas Proisl
|
Paul Greiner
|
Besim Kabashi
ShrdLite: Semantic Parsing Using a Handmade Grammar
[S14-2097]:
Peter Ljunglöf
SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level
Similarity
[S14-2098]:
Carmen Banea
|
Di Chen
|
Rada Mihalcea
|
Claire Cardie
|
Janyce Wiebe
SINAI: Voting System for Aspect Based Sentiment Analysis
[S14-2099]:
Salud María Jiménez-Zafra
|
Eugenio Martínez-Cámara
|
Maite Martin
|
L. Alfonso Urena Lopez
SINAI: Voting System for Twitter Sentiment Analysis
[S14-2100]:
Eugenio Martínez-Cámara
|
Salud María Jiménez-Zafra
|
Maite Martin
|
L. Alfonso Urena Lopez
SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis
[S14-2101]:
Clemens Schulze Wettendorf
|
Robin Jegan
|
Allan Körner
|
Julia Zerche
|
Nataliia Plotnikova
|
Julian Moreth
|
Tamara Schertl
|
Verena Obermeyer
|
Susanne Streil
|
Tamara Willacker
|
Stefan Evert
SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence
Semantic Similarity
[S14-2102]:
Pingping Huang
|
Baobao Chang
SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis
in Twitter
[S14-2103]:
Boris Velichkov
|
Borislav Kapukaranov
|
Ivan Grozev
|
Jeni Karanesheva
|
Todor Mihaylov
|
Yasen Kiprov
|
Preslav Nakov
|
Ivan Koychev
|
Georgi Georgiev
Supervised Methods for Aspect-Based Sentiment Analysis
[S14-2104]:
Hussam Hamdan
|
Patrice Bellot
|
Frederic Bechet
Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech
n-Grams
[S14-2105]:
Martin Jaggi
|
Fatih Uzdilli
|
Mark Cieliebak
Synalp-Empathic: A Valence Shifting Hybrid System for Sentiment Analysis
[S14-2106]:
Alexandre Denis
|
Samuel Cruz-Lara
|
Nadia Bellalem
|
Lotfi Bellalem
SZTE-NLP: Aspect level opinion mining exploiting syntactic cues
[S14-2107]:
Viktor Hangya
|
Gabor Berend
|
István Varga
|
Richárd Farkas
SZTE-NLP: Clinical Text Analysis with Named Entity Recognition
[S14-2108]:
Melinda Katona
|
Richárd Farkas
TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths -
an IR Approach
[S14-2109]:
Arun kumar Jayapal
|
Martin Emms
|
John Kelleher
Team Z: Wiktionary as a L2 Writing Assistant
[S14-2110]:
Anubhav Gupta
TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting
Scheme for Unbalanced Data
[S14-2111]:
Yasuhide Miura
|
Shigeyuki Sakaki
|
Keigo Hattori
|
Tomoko Ohkuma
TeamZ: Measuring Semantic Textual Similarity for Spanish Using an
Overlap-Based Approach
[S14-2112]:
Anubhav Gupta
The Impact of Z_score on Twitter Sentiment Analysis
[S14-2113]:
Hussam Hamdan
|
Patrice Bellot
|
Frederic Bechet
The Meaning Factory: Formal Semantics for Recognizing Textual Entailment
and Determining Semantic Similarity
[S14-2114]:
Johannes Bjerva
|
Johan Bos
|
Rob van der Goot
|
Malvina Nissim
Think Positive: Towards Twitter Sentiment Analysis from Scratch
[S14-2115]:
Cicero dos Santos
ThinkMiners: Disorder Recognition using Conditional Random Fields and
Distributional Semantics
[S14-2116]:
Ankur Parikh
|
Avinesh PVS
|
Joy Mustafi
|
Lalit Agarwalla
|
Ashish Mungi
TJP: Identifying the Polarity of Tweets from Contexts
[S14-2117]:
Tawunrat Chalothorn
|
Jeremy Ellman
TMUNSW: Disorder Concept Recognition and Normalization in Clinical Notes
for SemEval-2014 Task 7
[S14-2118]:
Jitendra Jonnagaddala
|
Manish Kumar
|
Hong-Jie Dai
|
Enny Rachmani
|
Chien-Yeh Hsu
tucSage: Grammar Rule Induction for Spoken Dialogue Systems via
Probabilistic Candidate Selection
[S14-2119]:
Arodami Chorianopoulou
|
Georgia Athanasopoulou
|
Elias Iosif
|
Ioannis Klasinas
|
Alexandros Potamianos
TUGAS: Exploiting unlabelled data for Twitter sentiment analysis
[S14-2120]:
Silvio Amir
|
Miguel B. Almeida
|
Bruno Martins
|
João Filgueiras
|
Mario J. Silva
Turku: Broad-Coverage Semantic Parsing with Rich Features
[S14-2121]:
Jenna Kanerva
|
Juhani Luotolahti
|
Filip Ginter
UBham: Lexical Resources and Dependency Parsing for Aspect-Based
Sentiment Analysis
[S14-2122]:
Viktor Pekar
|
Naveed Afzal
|
Bernd Bohnet
UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT
[S14-2123]:
Eva Hasler
ÚFAL: Using Hand-crafted Rules in Aspect Based Sentiment Analysis on
Parsed Data
[S14-2124]:
Kateřina Veselovská
|
Aleš Tamchyna
UIO-Lien: Entailment Recognition using Minimal Recursion Semantics
[S14-2125]:
Elisabeth Lien
|
Milen Kouylekov
UKPDIPF: Lexical Semantic Approach to Sentiment Polarity Prediction in
Twitter Data
[S14-2126]:
Lucie Flekova
|
Oliver Ferschke
|
Iryna Gurevych
ULisboa: Identification and Classification of Medical Concepts
[S14-2127]:
André Leal
|
Diogo Gonçalves
|
Bruno Martins
|
Francisco M Couto
UMCC_DLSI_SemSim: Multilingual System for Measuring Semantic Textual Similarity
[S14-2128]:
Alexander Chavez
|
Héctor Dávila
|
Yoan Gutiérrez
|
Antonio Fernández-Orquín
|
Andrés Montoyo
|
Rafael Muñoz
UMCC_DLSI: A Probabilistic Automata for Aspect Based Sentiment Analysis
[S14-2129]:
Yenier Castañeda
|
Armando Collazo
|
Elvis Crego
|
Jorge L. Garcia
|
Yoan Gutierrez
|
David Tomás
|
Andrés Montoyo
|
Rafael Muñoz
UMCC_DLSI: Sentiment Analysis in Twitter using Polirity Lexicons and
Tweet Similarity
[S14-2130]:
Pedro Aniel Sánchez-Mirabal
|
Yarelis Ruano Torres
|
Suilen Hernández Alvarado
|
Yoan Gutiérrez
|
Andrés Montoyo
|
Rafael Muñoz
UNAL-NLP: Combining Soft Cardinality Features for Semantic Textual
Similarity, Relatedness and Entailment
[S14-2131]:
Sergio Jimenez
|
George Dueñas
|
Julia Baquero
|
Alexander Gelbukh
UNAL-NLP: Cross-Lingual Phrase Sense Disambiguation with Syntactic
Dependency Trees
[S14-2132]:
Emilio Silva-Schlenker
|
Sergio Jimenez
|
Julia Baquero
UNIBA: Combining Distributional Semantic Models and Word Sense
Disambiguation for Textual Similarity
[S14-2133]:
Pierpaolo Basile
|
Annalina Caputo
|
Giovanni Semeraro
UniPi: Recognition of Mentions of Disorders in Clinical Text
[S14-2134]:
Giuseppe Attardi
|
Vittoria Cozza
|
Daniele Sartiano
UNITOR: Aspect Based Sentiment Analysis with Structured Learning
[S14-2135]:
Giuseppe Castellucci
|
Simone Filice
|
Danilo Croce
|
Roberto Basili
University_of_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment
Analyser for Tweets - Meets SemEval
[S14-2136]:
Richard Townsend
|
Aaron Kalair
|
Ojas Kulkarni
|
Rob Procter
|
Maria Liakata
UO_UA: Using Latent Semantic Analysis to Build a Domain-Dependent
Sentiment Resource
[S14-2137]:
Reynier Ortega Bueno
|
Adrian Fonseca Bruzón
|
Carlos Muñiz Cuza
|
Yoan Gutiérrez
|
Andres Montoyo
UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity
[S14-2138]:
Miguel Rios
UoW: NLP techniques developed at the University of Wolverhampton for
Semantic Similarity and Textual Entailment
[S14-2139]:
Rohit Gupta
|
Hanna Bechara
|
Ismail El Maarouf
|
Constantin Orasan
USF: Chunking for Aspect-term Identification & Polarity Classification
[S14-2140]:
Cindi Thompson
UTexas: Natural Language Semantics using Distributional Semantics and
Probabilistic Logic
[S14-2141]:
Islam Beltagy
|
Stephen Roller
|
Gemma Boleda
|
Katrin Erk
|
Raymond Mooney
UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text
[S14-2142]:
Yaoyun Zhang
|
Jingqi Wang
|
Buzhou Tang
|
Yonghui Wu
|
Min Jiang
|
Yukun Chen
|
Hua Xu
UTU: Disease Mention Recognition and Normalization with CRFs and Vector
Space Representations
[S14-2143]:
Suwisa Kaewphan
|
Kai Hakala
|
Filip Ginter
UW-MRS: Leveraging a Deep Grammar for Robotic Spatial Commands
[S14-2144]:
Woodley Packard
UWB: Machine Learning Approach to Aspect-Based Sentiment Analysis
[S14-2145]:
Tomáš Brychcín
|
Michal Konkol
|
Josef Steinberger
UWM: Applying an Existing Trainable Semantic Parser to Parse Robotic
Spatial Commands
[S14-2146]:
Rohit Kate
UWM: Disorder Mention Extraction from Clinical Text Using CRFs and
Normalization Using Learned Edit Distance Patterns
[S14-2147]:
Omid Ghiasvand
|
Rohit Kate
V3: Unsupervised Generation of Domain Aspect Terms for Aspect Based
Sentiment Analysis
[S14-2148]:
Aitor García Pablos
|
Montse Cuadros
|
German Rigau
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis
[S14-2149]:
Caroline Brun
|
Diana Nicoleta Popa
|
Claude Roux
Proceedings of the 5th Workshop on Cognitive Aspects of Computational
Language Learning (CogACLL)
Proceedings of the 5th Workshop on Cognitive Aspects of Computational
Language Learning (CogACLL)
[W14-0500]:
Alessandro Lenci
|
Muntsa Padró
|
Thierry Poibeau
|
Aline Villavicencio
Challenging incrementality in human language processing: two operations
for a cognitive architecture
[W14-0501]:
Philippe Blache
A Brazilian Portuguese Phonological-prosodic Algorithm Applied to Language
Acquisition: A Case Study
[W14-0502]:
Vera Vasilévski
|
Márcio José Araujo
|
Helena Ferro Blasi
Bayesian inference as a cross-linguistic word segmentation strategy:
Always learning useful things
[W14-0503]:
Lawrence Phillips
|
Lisa Pearl
Learning the hyperparameters to learn morphology
[W14-0504]:
Stella Frank
An explicit statistical model of learning lexical segmentation using
multiple cues
[W14-0505]:
Çağrı Çöltekin
|
John Nerbonne
Distributional Learning as a Theory of Language Acquisition
[W14-0506]:
Alexander Clark
A multimodal corpus for the evaluation of computational models for
(grounded) language acquisition
[W14-0507]:
Judith Gaspers
|
Maximilian Panzner
|
Andre Lemme
|
Philipp Cimiano
|
Katharina J. Rohlfing
|
Sebastian Wrede
Towards a computational model of grammaticalization and lexical diversity
[W14-0508]:
Christian Bentz
|
Paula Buttery
How well can a corpus-derived co-occurrence network simulate human
associative behavior?
[W14-0509]:
Gemma Bel Enguix
|
Reinhard Rapp
|
Michael Zock
Agent-based modeling of language evolution
[W14-0510]:
Torvald Lekvam
|
Björn Gambäck
|
Lars Bungum
Missing Generalizations: A Supervised Machine Learning Approach to L2
Written Production
[W14-0511]:
Daniel Wiechmann
|
Elma Kerz
Proceedings of the 10th Workshop on Multiword Expressions (MWE)
Proceedings of the 10th Workshop on Multiword Expressions (MWE)
[W14-0800]:
Valia Kordoni
|
Markus Egg
|
Agata Savary
|
Eric Wehrli
|
Stefan Evert
Breaking Bad: Extraction of Verb-Particle Constructions from a Parallel
Subtitles Corpus
[W14-0801]:
Aaron Smith
A Supervised Model for Extraction of Multiword Expressions, Based on
Statistical Context Features
[W14-0802]:
Meghdad Farahmand
|
Ronaldo Martins
VPCTagger: Detecting Verb-Particle Constructions With Syntax-Based Methods
[W14-0803]:
István Nagy T.
|
Veronika Vincze
The Relevance of Collocations for Parsing
[W14-0804]:
Eric Wehrli
Parsing Modern Greek verb MWEs with LFG/XLE grammars
[W14-0805]:
Niki Samaridi
|
Stella Markantonatou
Evaluation of a Substitution Method for Idiom Transformation in
Statistical Machine Translation
[W14-0806]:
Giancarlo Salton
|
Robert Ross
|
John Kelleher
Encoding MWEs in a conceptual lexicon
[W14-0807]:
Aggeliki Fotopoulou
|
Stella Markantonatou
|
Voula Giouli
German Compounds and Statistical Machine Translation. Can they get along?
[W14-0808]:
Carla Parra Escartín
|
Stephan Peitz
|
Hermann Ney
Extracting MWEs from Italian corpora: A case study for refining the
POS-pattern methodology
[W14-0809]:
Sara Castagnoli
Mickey Mouse is not a Phrase: Improving Relevance in E-Commerce with
Multiword Expressions
[W14-0810]:
Prathyusha Senthil Kumar
|
Vamsi Salaka
|
Tracy Holloway King
|
Brian Johnson
Encoding of Compounds in Swedish FrameNet
[W14-0811]:
Karin Friberg Heppin
|
Miriam R L Petruck
Extraction of Nominal Multiword Expressions in French
[W14-0812]:
Marie Dubremetz
|
Joakim Nivre
Towards an Empirical Subcategorization of Multiword Expressions
[W14-0813]:
Luigi Squillante
Contexts, Patterns, Interrelations - New Ways of Presenting Multi-word
Expressions
[W14-0814]:
Kathrin Steyer
|
Annelen Brunner
Detecting change and emergence for multiword expressions
[W14-0815]:
Martin Emms
|
Arun Jayapal
An Approach to Take Multi-Word Expressions
[W14-0816]:
Claire Bonial
|
Meredith Green
|
Jenette Preciado
|
Martha Palmer
Paraphrasing Swedish Compound Nouns in Machine Translation
[W14-0817]:
Edvin Ullman
|
Joakim Nivre
Feature Norms of German Noun Compounds
[W14-0818]:
Stephen Roller
|
Sabine Schulte im Walde
Identifying collocations using cross-lingual association measures
[W14-0819]:
Lis Pereira
|
Elga Strafella
|
Kevin Duh
|
Yuji Matsumoto
Unsupervised Construction of a Lexicon and a Repository of Variation
Patterns for Arabic Modal Multiword Expressions
[W14-0820]:
Rania Al-Sabbagh
|
Roxana Girju
|
Jana diesner
Issues in Translating Verb-Particle Constructions from German to English
[W14-0821]:
Nina Schottmüller
|
Joakim Nivre
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
[S13-1000]:
Mona Diab
|
Tim Baldwin
|
Marco Baroni
Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
[S13-1001]:
Edward Grefenstette
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
[S13-1002]:
Islam Beltagy
|
Cuong Chau
|
Gemma Boleda
|
Dan Garrette
|
Katrin Erk
|
Raymond Mooney
Coarse to Fine Grained Sense Disambiguation in Wikipedia
[S13-1003]:
Hui Shen
|
Razvan Bunescu
|
Rada Mihalcea
*SEM 2013 shared task: Semantic Textual Similarity
[S13-1004]:
Eneko Agirre
|
Daniel Cer
|
Mona Diab
|
Aitor Gonzalez-Agirre
|
Weiwei Guo
UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
[S13-1005]:
Lushan Han
|
Abhay L. Kashyap
|
Tim Finin
|
James Mayfield
|
Jonathan Weese
iKernels-Core: Tree Kernel Learning for Textual Similarity
[S13-1006]:
Aliaksei Severyn
|
Massimo Nicosia
|
Alessandro Moschitti
UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression
[S13-1007]:
Danilo Croce
|
Valerio Storch
|
Roberto Basili
NTNU-CORE: Combining strong features for semantic similarity
[S13-1008]:
Erwin Marsi
|
Hans Moen
|
Lars Bungum
|
Gleb Sizov
|
Björn Gambäck
|
André Lynum
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information
[S13-1009]:
Sai Wang
|
Ru Li
|
Ruibo Wang
|
Zhiqiang Wang
|
Xia Zhang
Distinguishing Common and Proper Nouns
[S13-1010]:
Judita Preiss
|
Mark Stevenson
UCAM-CORE: Incorporating structured distributional similarity into STS
[S13-1011]:
Tamara Polajnar
|
Laura Rimell
|
Douwe Kiela
PolyUCOMP-CORE_TYPED: Computing Semantic Textual Similarity using Overlapped Senses
[S13-1012]:
Jian Xu
|
Qin Lu
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity
[S13-1013]:
Michael Heilman
|
Nitin Madnani
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation
[S13-1014]:
Nikolaos Malandrakis
|
Elias Iosif
|
Vassiliki Prokopi
|
Alexandros Potamianos
|
Shrikanth Narayanan
UMCC_DLSI: Textual Similarity based on Lexical-Semantic features
[S13-1015]:
Alexander Chávez
|
Héctor Dávila
|
Yoan Gutiérrez
|
Armando Collazo
|
José I. Abreu
|
Antonio Fernández Orquín
|
Andrés Montoyo
|
Rafael Muñoz
BUT-TYPED: Using domain knowledge for computing typed similarity
[S13-1016]:
Lubomir Otrusina
|
Pavel Smrz
ECNUCS: Measuring Short Text Semantic Equivalence Using Multiple Similarity Measurements
[S13-1017]:
Zhu Tiantian
|
Man Lan
UBC_UOS-TYPED: Regression for typed-similarity
[S13-1018]:
Eneko Agirre
|
Nikolaos Aletras
|
Aitor Gonzalez-Agirre
|
German Rigau
|
Mark Stevenson
KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases
[S13-1019]:
Hermann Ziak
|
Roman Kern
UPC-CORE: What Can Machine Translation Evaluation Metrics and Wikipedia Do for Estimating Semantic Textual Similarity?
[S13-1020]:
Alberto Barrón-Cedeño
|
Lluís Màrquez
|
Maria Fuentes
|
Horacio Rodriguez
|
Jordi Turmo
MayoClinicNLP–CORE: Semantic representations for textual similarity
[S13-1021]:
Stephen Wu
|
Dongqing Zhu
|
Ben Carterette
|
Hongfang Liu
SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity
[S13-1022]:
Eric Yeh
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features
[S13-1023]:
Davide Buscaldi
|
Joseph Le Roux
|
Jorge J. Garcia Flores
|
Adrian Popescu
UNIBA-CORE: Combining Strategies for Semantic Textual Similarity
[S13-1024]:
Annalina Caputo
|
Pierpaolo Basile
|
Giovanni Semeraro
DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity
[S13-1025]:
Md. Sultan
|
Steven Bethard
|
Tamara Sumner
KLUE-CORE: A regression model of semantic textual similarity
[S13-1026]:
Paul Greiner
|
Thomas Proisl
|
Stefan Evert
|
Besim Kabashi
IBM_EG-CORE: Comparing multiple Lexical and NE matching features in measuring Semantic Textual similarity
[S13-1027]:
Sara Noeman
SOFTCARDINALITY-CORE: Improving Text Overlap with Distributional Measures for Semantic Textual Similarity
[S13-1028]:
Sergio Jimenez
|
Claudia Becerra
|
Alexander Gelbukh
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity
[S13-1029]:
Ehsan Shareghi
|
Sabine Bergler
UniMelb_NLP-CORE: Integrating predictions from multiple domains and feature sets for estimating semantic textual similarity
[S13-1030]:
Spandana Gella
|
Bahar Salehi
|
Marco Lui
|
Karl Grieser
|
Paul Cook
|
Timothy Baldwin
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language
[S13-1031]:
Avishek Dan
|
Pushpak Bhattacharyya
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge
[S13-1032]:
Carmen Banea
|
Yoonjung Choi
|
Lingjia Deng
|
Samer Hassan
|
Michael Mohler
|
Bishan Yang
|
Claire Cardie
|
Rada Mihalcea
|
Jan Wiebe
INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity
[S13-1033]:
Fernando Sánchez-Vega
|
Manuel Montes-y-Gómez
|
Paolo Rosso
|
Luis Villaseñor-Pineda
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity
[S13-1034]:
Ergun Bicici
|
Josef Van Genabith
A Dataset of Syntactic-Ngrams over Time from a Very Large Corpus of English Books
[S13-1035]:
Yoav Goldberg
|
Jon Orwant
Unsupervised Word Usage Similarity in Social Media Texts
[S13-1036]:
Spandana Gella
|
Paul Cook
|
Bo Han
More Words and Bigger Pictures
[S13-1037]:
David Forsyth
Exploring Vector Space Models to Predict the Compositionality of German Noun-Noun Compounds
[S13-1038]:
Sabine Schulte im Walde
|
Stefan Müller
|
Stefan Roller
Predicting the Compositionality of Multiword Expressions Using Translations in Multiple Languages
[S13-1039]:
Bahar Salehi
|
Paul Cook
Metaphor Identification as Interpretation
[S13-1040]:
Ekaterina Shutova
Using the text to evaluate short answers for reading comprehension exercises
[S13-1041]:
Andrea Horbach
|
Alexis Palmer
|
Manfred Pinkal
Choosing the Right Words: Characterizing and Reducing Error of the Word Count Approach
[S13-1042]:
Hansen Andrew Schwartz
|
Johannes Eichstaedt
|
Eduardo Blanco
|
Lukasz Dziurzyński
|
Margaret L. Kern
|
Stephanie Ramones
|
Martin Seligman
|
Lyle Ungar
Automatically Identifying Implicit Arguments to Improve Argument Linking and Coherence Modeling
[S13-1043]:
Michael Roth
|
Anette Frank
Bootstrapping Semantic Role Labelers from Parallel Data
[S13-1044]:
Mikhail Kozhevnikov
|
Ivan Titov
Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
[S13-1045]:
Qingqing Cai
|
Alexander Yates
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
[S13-2000]:
Suresh Manandhar
|
Deniz Yuret
SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
[S13-2001]:
Naushad UzZaman
|
Hector Llorens
|
Leon Derczynski
|
James Allen
|
Marc Verhagen
|
James Pustejovsky
ClearTK-TimeML: A minimalist approach to TempEval 2013
[S13-2002]:
Steven Bethard
HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
[S13-2003]:
Jannik Strötgen
|
Julian Zell
|
Michael Gertz
ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
[S13-2004]:
Hyuckchul Jung
|
Amanda Stent
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
[S13-2005]:
Matteo Negri
|
Alessandro Marchetti
|
Yashar Mehdad
|
Luisa Bentivogli
|
Danilo Giampiccolo
SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
[S13-2006]:
Sergio Jimenez
|
Claudia Becerra
|
Alexander Gelbukh
SemEval-2013 Task 5: Evaluating Phrasal Semantics
[S13-2007]:
Ioannis Korkontzelos
|
Torsten Zesch
|
Fabio Massimo Zanzotto
|
Chris Biemann
HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
[S13-2008]:
Christian Wartena
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
[S13-2009]:
Michele Filannino
|
Gavin Brown
|
Goran Nenadic
FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
[S13-2010]:
Vanni Zavarella
|
Hristo Tanev
JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations
[S13-2011]:
Anup Kumar Kolya
|
Amitava Kundu
|
Rajdeep Gupta
|
Asif Ekbal
|
Sivaji Bandyopadhyay
NavyTime: Event and Time Ordering from Raw Text
[S13-2012]:
Nate Chambers
SUTime: Evaluation in TempEval-3
[S13-2013]:
Angel Chang
|
Christopher D. Manning
KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
[S13-2014]:
Oleksandr Kolomiyets
|
Marie-Francine Moens
UTTime: Temporal Relation Classification using Deep Syntactic Features
[S13-2015]:
Natsuda Laokulrat
|
Makoto Miwa
|
Yoshimasa Tsuruoka
|
Takashi Chikayama
UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance
[S13-2016]:
Héctor Dávila
|
Antonio Fernández Orquín
|
Alexander Chávez
|
Yoan Gutiérrez
|
Armando Collazo
|
José I. Abreu
|
Andrés Montoyo
|
Rafael Muñoz
MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
[S13-2017]:
Tim Van de Cruys
|
Stergos Afantenos
|
Philippe Muller
IIRG: A Naive Approach to Evaluating Phrasal Semantics
[S13-2018]:
Lorna Byrne
|
Caroline Fenlon
|
John Dunnion
ClaC: Semantic Relatedness of Words and Phrases
[S13-2019]:
Reda Siblini
|
Leila Kosseim
UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
[S13-2020]:
Sergio Jimenez
|
Claudia Becerra
|
Alexander Gelbukh
ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
[S13-2021]:
Jiang Zhao
|
Man Lan
|
Zheng-Yu Niu
BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
[S13-2022]:
Darnes Vilariño
|
David Pinto
|
Saul León
|
Yuridiana Aleman
|
Helena Gómez
ALTN: Word Alignment Features for Cross-lingual Textual Entailment
[S13-2023]:
Marco Turchi
|
Matteo Negri
Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
[S13-2024]:
Yvette Graham
|
Bahar Salehi
|
Timothy Baldwin
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
[S13-2025]:
Iris Hendrickx
|
Zornitsa Kozareva
|
Preslav Nakov
|
Diarmuid Ó Séaghdha
|
Stan Szpakowicz
|
Tony Veale
MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
[S13-2026]:
Tim Van de Cruys
|
Stergos Afantenos
|
Philippe Muller
SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
[S13-2027]:
Yannick Versley
IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing
[S13-2028]:
Nitesh Surtani
|
Arpita Batra
|
Urmi Ghosh
|
Soma Paul
SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
[S13-2029]:
Els Lefever
|
Véronique Hoste
XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
[S13-2030]:
Liling Tan
|
Francis Bond
HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
[S13-2031]:
Alex Rudnick
|
Can Liu
|
Michael Gasser
LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering
[S13-2032]:
Marianna Apidianaki
WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
[S13-2033]:
Maarten van Gompel
|
Antal van den Bosch
NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
[S13-2034]:
Marine Carpuat
SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
[S13-2035]:
Roberto Navigli
|
Daniele Vannella
Duluth : Word Sense Induction Applied to Web Page Clustering
[S13-2036]:
Ted Pedersen
SATTY : Word Sense Induction Application in Web Search Clustering
[S13-2037]:
Satyabrata Behera
|
Upasana Gaikwad
|
Ramakrishna Bairi
|
Ganesh Ramakrishnan
UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
[S13-2038]:
Hans-Peter Zorn
|
Iryna Gurevych
unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
[S13-2039]:
Jey Han Lau
|
Paul Cook
|
Timothy Baldwin
SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
[S13-2040]:
Roberto Navigli
|
David Jurgens
|
Daniele Vannella
GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
[S13-2041]:
Didier Schwab
|
Andon Tchechmedjiev
|
Jérôme Goulian
|
Mohammad Nasiruddin
|
Gilles Sérasset
|
Hervé Blanchon
UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation
[S13-2042]:
Yoan Gutiérrez
|
Yenier Castañeda
|
Andy González
|
Rainel Estrada
|
Dennys D. Piug
|
Jose I. Abreu
|
Roger Pérez
|
Antonio Fernández Orquín
|
Andrés Montoyo
|
Rafael Muñoz
|
Franc Camara
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
[S13-2043]:
Steve L. Manion
|
Raazesh Sainudiin
SemEval-2013 Task 3: Spatial Role Labeling
[S13-2044]:
Oleksandr Kolomiyets
|
Parisa Kordjamshidi
|
Marie-Francine Moens
|
Steven Bethard
SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
[S13-2045]:
Myroslava Dzikovska
|
Rodney Nielsen
|
Chris Brew
|
Claudia Leacock
|
Danilo Giampiccolo
|
Luisa Bentivogli
|
Peter Clark
|
Ido Dagan
|
Hoa Trang Dang
ETS: Domain Adaptation and Stacking for Short Answer Scoring
[S13-2046]:
Michael Heilman
|
Nitin Madnani
SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
[S13-2047]:
Sergio Jimenez
|
Claudia Becerra
|
Alexander Gelbukh
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
[S13-2048]:
Omer Levy
|
Torsten Zesch
|
Ido Dagan
|
Iryna Gurevych
SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
[S13-2049]:
David Jurgens
|
Ioannis Klapaftis
AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
[S13-2050]:
Osman Baskaya
|
Enis Sert
|
Volkan Cirik
|
Deniz Yuret
unimelb: Topic Modelling-based Word Sense Induction
[S13-2051]:
Jey Han Lau
|
Paul Cook
|
Timothy Baldwin
SemEval-2013 Task 2: Sentiment Analysis in Twitter
[S13-2052]:
Preslav Nakov
|
Sara Rosenthal
|
Zornitsa Kozareva
|
Veselin Stoyanov
|
Alan Ritter
|
Theresa Wilson
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
[S13-2053]:
Saif Mohammad
|
Svetlana Kiritchenko
|
Xiaodan Zhu
GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
[S13-2054]:
Tobias Günther
|
Lenz Furrer
AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
[S13-2055]:
Lee Becker
|
George Erhart
|
David Skiba
|
Valentine Matula
SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
[S13-2056]:
Isabel Segura-Bedmar
|
Paloma Martínez
|
María Herrero Zazo
FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
[S13-2057]:
Md. Faisal Mahbub Chowdhury
|
Alberto Lavelli
WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
[S13-2058]:
Tim Rocktäschel
|
Torsten Huber
|
Michael Weidlich
|
Ulf Leser
AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
[S13-2059]:
Mohamed Dermouche
|
Leila Khouas
|
Julien Velcin
|
Sabine Loudcher
UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
[S13-2060]:
Giuseppe Castellucci
|
Simone Filice
|
Danilo Croce
|
Roberto Basili
TJP: Using Twitter to Analyze the Polarity of Contexts
[S13-2061]:
Tawunrat Chalothorn
|
Jeremy Ellman
uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
[S13-2062]:
Hamid Poursepanj
|
Josh Weissbock
|
Diana Inkpen
UT-DB: An Experimental Study on Sentiment Analysis in Twitter
[S13-2063]:
Zhemin Zhu
|
Djoerd Hiemstra
|
Peter Apers
|
Andreas Wombacher
USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
[S13-2064]:
Ganesh Harihara
|
Eugene Yang
|
Nate Chambers
KLUE: Simple and robust methods for polarity classification
[S13-2065]:
Thomas Proisl
|
Paul Greiner
|
Stefan Evert
|
Besim Kabashi
SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
[S13-2066]:
Eugenio Martínez-Cámara
|
Arturo Montejo-Ráez
|
M. Teresa Martín-Valdivia
|
L. Alfonso Ureña-López
ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
[S13-2067]:
Zhu Tiantian
|
Zhang Fangxi
|
Man Lan
Umigon: sentiment analysis for tweets based on terms lists and heuristics
[S13-2068]:
Clement Levallois
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
[S13-2069]:
Morgane Marchand
|
Alexandru Ginsca
|
Romaric Besançon
|
Olivier Mesnard
SwatCS: Combining simple classifiers with estimated accuracy
[S13-2070]:
Sam Clark
|
Rich Wicentwoski
NTNU: Domain Semi-Independent Short Message Sentiment Classification
[S13-2071]:
Øyvind Selmer
|
Mikael Brevik
|
Björn Gambäck
|
Lars Bungum
SAIL: A hybrid approach to sentiment analysis
[S13-2072]:
Nikolaos Malandrakis
|
Abe Kazemzadeh
|
Alexandros Potamianos
|
Shrikanth Narayanan
UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter
[S13-2073]:
Yoan Gutiérrez
|
Andy González
|
Roger Pérez
|
José I. Abreu
|
Antonio Fernández Orquín
|
Alejandro Mosquera
|
Andrés Montoyo
|
Rafael Muñoz
|
Franc Camara
ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
[S13-2074]:
Robert Remus
Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
[S13-2075]:
Hussam Hamdan
|
Frederic Béchet
|
Patrice Bellot
OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
[S13-2076]:
Alexandra Balahur
FBK: Sentiment Analysis in Twitter with Tweetsted
[S13-2077]:
Md. Faisal Mahbub Chowdhury
|
Marco Guerini
|
Sara Tonelli
|
Alberto Lavelli
SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
[S13-2078]:
Gizem Gezici
|
Rahim Dehkharghani
|
Berrin Yanikoglu
|
Dilek Tapucu
|
Yucel Saygin
Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
[S13-2079]:
Sara Rosenthal
|
Kathy McKeown
FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
[S13-2080]:
Carlos Rodriguez-Penagos
|
Jordi Atserias Batalla
|
Joan Codina-Filbà
|
David García-Narbona
|
Jens Grivolla
|
Patrik Lambert
|
Roser Saurí
REACTION: A naive machine learning approach for sentiment classification
[S13-2081]:
Silvio Moreira
|
João Filgueiras
|
Bruno Martins
|
Francisco Couto
|
Mário J. Silva
IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
[S13-2082]:
Karan Chawla
|
Ankit Ramteke
|
Pushpak Bhattacharyya
SSA-UO: Unsupervised Sentiment Analysis in Twitter
[S13-2083]:
Reynier Ortega Bueno
|
Adrian Fonseca Bruzón
|
Yoan Gutiérrez
|
Andres Montoyo
senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
[S13-2084]:
José Saias
|
Hilário Fernandes
teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
[S13-2085]:
Hilke Reckman
|
Cheyanne Baird
|
Jean Crawford
|
Richard Crowell
|
Linnea Micciulla
|
Saratendu Sethi
|
Fruzsina Veress
CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
[S13-2086]:
Qi Han
|
Junfei Guo
|
Hinrich Schuetze
sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
[S13-2087]:
Harshit Jain
|
Aditya Mogadala
|
Vasudeva Varma
Kea: Expression-level Sentiment Analysis from Twitter Data
[S13-2088]:
Ameeta Agrawal
|
Aijun An
UoM: Using Explicit Semantic Analysis for Classifying Sentiments
[S13-2089]:
Sapna Negi
|
Michael Rosner
bwbaugh : Hierarchical sentiment analysis with partial self-training
[S13-2090]:
Wesley Baugh
Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
[S13-2091]:
Prabu palanisamy
|
Vineet Yadav
|
Harsha Elchuri
SZTE-NLP: Sentiment Detection on Twitter Messages
[S13-2092]:
Viktor Hangya
|
Gabor Berend
|
Richárd Farkas
BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
[S13-2093]:
Nadin Kökciyan
|
Arda Çelebi
|
Arzucan Özgür
|
Suzan Üsküdarlı
nlp.cs.aueb.gr: Two Stage Sentiment Analysis
[S13-2094]:
Prodromos Malakasiotis
|
Rafael Michael Karampatsis
|
Konstantina Makrynioti
|
John Pavlopoulos
NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
[S13-2095]:
Pedro Balage Filho
|
Thiago Pardo
UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
[S13-2096]:
Emanuele Bastianelli
|
Danilo Croce
|
Roberto Basili
|
Daniele Nardi
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
[S13-2097]:
Itziar Aldabe
|
Montse Maritxalar
|
Oier Lopez de Lacalle
CNGL: Grading Student Answers by Acts of Translation
[S13-2098]:
Ergun Bicici
|
Josef van Genabith
Celi: EDITS and Generic Text Pair Classification
[S13-2099]:
Milen Kouylekov
|
Luca Dini
|
Alessio Bosca
|
Marco Trevisan
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
[S13-2100]:
Martin Gleize
|
Brigitte Grau
CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding
[S13-2101]:
IFEYINWA OKOYE
|
Steven Bethard
|
Tamara Sumner
CoMeT: Integrating different levels of linguistic modeling for meaning assessment
[S13-2102]:
Niels Ott
|
Ramon Ziai
|
Michael Hahn
|
Detmar Meurers
UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
[S13-2103]:
Daniel Sanchez-Cisneros
UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
[S13-2104]:
Daniel Sanchez-Cisneros
|
Fernando Aparicio Gali
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
[S13-2105]:
Philippe Thomas
|
Mariana Neves
|
Tim Rocktäschel
|
Ulf Leser
UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts
[S13-2106]:
Armando Collazo
|
Alberto Ceballo
|
Dennys D. Puig
|
Yoan Gutiérrez
|
José I. Abreu
|
Roger Pérez
|
Antonio Fernández Orquín
|
Andrés Montoyo
|
Rafael Muñoz
|
Franc Camara
NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
[S13-2107]:
Behrouz Bokharaeian
|
ALBERTO DIAZ
UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
[S13-2108]:
Jari Björne
|
Suwisa Kaewphan
|
Tapio Salakoski
LASIGE: using Conditional Random Fields and ChEBI ontology
[S13-2109]:
Tiago Grego
|
Francisco Pinto
|
Francisco M Couto
UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
[S13-2110]:
Majid Rastegar-Mojarad
|
Richard D. Boyce
|
Rashmi Prasad
SCAI: Extracting drug-drug interactions using a rich feature vector
[S13-2111]:
Tamara Bobic
|
Juliane Fluck
|
Martin Hofmann-Apitius
UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features
[S13-2112]:
Negacy Hailu
|
Lawrence E. Hunter
|
K. Bretonnel Cohen
UoS: A Graph-Based System for Graded Word Sense Induction
[S13-2113]:
David Hope
|
Bill Keller
Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation
Proceedings of the Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation
[W13-0800]:
Marine Carpuat
|
Lucia Specia
|
Dekai Wu
A Semantic Evaluation of Machine Translation Lexical Choice
[W13-0801]:
Marine Carpuat
Taste of Two Different Flavours: Which Manipuri Script works better for English-Manipuri Language pair SMT Systems?
[W13-0802]:
Thoudam Doren Singh
Hierarchical Alignment Decomposition Labels for Hiero Grammar Rules
[W13-0803]:
Gideon Maillette de Buy Wenniger
|
Khalil Sima'an
A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation
[W13-0804]:
Matthias Huck
|
David Vilar
|
Markus Freitag
|
Hermann Ney
Combining Word Reordering Methods on different Linguistic Abstraction Levels for Statistical Machine Translation
[W13-0805]:
Teresa Herrmann
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Jan Niehues
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Alex Waibel
Combining Top-down and Bottom-up Search for Unsupervised Induction of Transduction Grammars
[W13-0806]:
Markus Saers
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Karteek Addanki
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Dekai Wu
A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis.
[W13-0807]:
Gideon Maillette de Buy Wenniger
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Khalil Sima'an
Synchronous Linear Context-Free Rewriting Systems for Machine Translation
[W13-0808]:
Miriam Kaeshammer
Proceedings of the 9th Workshop on Multiword Expressions
Proceedings of the 9th Workshop on Multiword Expressions
[W13-1000]:
Valia Kordoni
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Carlos Ramisch
|
Aline Villavicencio
Managing Multiword Expressions in a Lexicon-Based Sentiment Analysis System for Spanish
[W13-1001]:
Antonio Moreno-Ortiz
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Chantal Perez-Hernandez
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Maria Del-Olmo
Introducing PersPred, a Syntactic and Semantic Database for Persian Complex Predicates
[W13-1002]:
Pollet Samvelian
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Pegah Faghiri
Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries
[W13-1003]:
Lars Bungum
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Björn Gambäck
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André Lynum
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Erwin Marsi
Complex Predicates are Multi-Word Expressions
[W13-1004]:
Martha Palmer
The (Un)expected Effects of Applying Standard Cleansing Models to Human Ratings on Compositionality
[W13-1005]:
Stephen Roller
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Sabine Schulte im Walde
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Silke Scheible
Determining Compositionality of Word Expressions Using Word Space Models
[W13-1006]:
Lubomír Krčmář
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Karel Ježek
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Pavel Pecina
Modelling the Internal Variability of MWEs
[W13-1007]:
Malvina Nissim
Automatically Assessing Whether a Text Is Cliched, with Applications to Literary Analysis
[W13-1008]:
Paul Cook
|
Graeme Hirst
An Analysis of Annotation of Verb-Noun Idiomatic Combinations in a Parallel Dependency Corpus
[W13-1009]:
Zdenka Uresova
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Jan Hajic
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Eva Fucikova
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Jana Sindlerova
Automatic Identification of Bengali Noun-Noun Compounds Using Random Forest
[W13-1010]:
Vivekananda Gayen
|