Special Interest Group on Natural Language Learning (SIGNLL)
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Table of contents
Proceedings of the 21st Conference on Computational Natural Language
Learning (CoNLL 2017)
Proceedings of the 21st Conference on Computational Natural Language
Learning (CoNLL 2017)
[K17-1000]:
Roger Levy
|
Lucia Specia
Should Neural Network Architecture Reflect Linguistic Structure?
[K17-1001]:
Chris Dyer
Rational Distortions of Learners' Linguistic Input
[K17-1002]:
Naomi Feldman
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
[K17-1003]:
Émile Enguehard
|
Yoav Goldberg
|
Tal Linzen
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of
the ROC Story Cloze Task
[K17-1004]:
Roy Schwartz
|
Maarten Sap
|
Ioannis Konstas
|
Leila Zilles
|
Yejin Choi
|
Noah A. Smith
Parsing for Grammatical Relations via Graph Merging
[K17-1005]:
Weiwei Sun
|
Yantao Du
|
Xiaojun Wan
Leveraging Eventive Information for Better Metaphor Detection and
Classification
[K17-1006]:
I-Hsuan Chen
|
Yunfei Long
|
Qin Lu
|
Chu-Ren Huang
Collaborative Partitioning for Coreference Resolution
[K17-1007]:
Olga Uryupina
|
Alessandro Moschitti
Named Entity Disambiguation for Noisy Text
[K17-1008]:
Yotam Eshel
|
Noam Cohen
|
Kira Radinsky
|
Shaul Markovitch
|
Ikuya Yamada
|
Omer Levy
Tell Me Why: Using Question Answering as Distant Supervision for Answer
Justification
[K17-1009]:
Rebecca Sharp
|
Mihai Surdeanu
|
Peter Jansen
|
Marco A. Valenzuela-Escárcega
|
Peter Clark
|
Michael Hammond
Learning What is Essential in Questions
[K17-1010]:
Daniel Khashabi
|
Tushar Khot
|
Ashish Sabharwal
|
Dan Roth
Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation
[K17-1011]:
Huadong Chen
|
Shujian Huang
|
David Chiang
|
XIN-YU DAI
|
Jiajun CHEN
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
[K17-1012]:
Massimiliano Mancini
|
Jose Camacho-Collados
|
Ignacio Iacobacci
|
Roberto Navigli
Automatic Selection of Context Configurations for Improved Class-Specific
Word Representations
[K17-1013]:
Ivan Vulić
|
Roy Schwartz
|
Ari Rappoport
|
Roi Reichart
|
Anna Korhonen
Modeling Context Words as Regions: An Ordinal Regression Approach to Word
Embedding
[K17-1014]:
SHOAIB JAMEEL
|
STEVEN SCHOCKAERT
An Artificial Language Evaluation of Distributional Semantic Models
[K17-1015]:
Fatemeh Torabi Asr
|
Michael Jones
Learning Word Representations with Regularization from Prior Knowledge
[K17-1016]:
Yan Song
|
Chia-Jung Lee
|
Fei Xia
Attention-based Recurrent Convolutional Neural Network for Automatic Essay
Scoring
[K17-1017]:
Fei Dong
|
Yue Zhang
|
Jie Yang
Feature Selection as Causal Inference: Experiments with Text Classification
[K17-1018]:
Michael J. Paul
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments
[K17-1019]:
Haoruo Peng
|
Snigdha Chaturvedi
|
Dan Roth
Neural Sequence-to-sequence Learning of Internal Word Structure
[K17-1020]:
Tatyana Ruzsics
|
Tanja Samardzic
A Supervised Approach to Extractive Summarisation of Scientific Papers
[K17-1021]:
Ed Collins
|
Isabelle Augenstein
|
Sebastian Riedel
An Automatic Approach for Document-level Topic Model Evaluation
[K17-1022]:
Shraey Bhatia
|
Jey Han Lau
|
Timothy Baldwin
Robust Coreference Resolution and Entity Linking on Dialogues: Character
Identification on TV Show Transcripts
[K17-1023]:
Henry Y. Chen
|
Ethan Zhou
|
Jinho D. Choi
Cross-language Learning with Adversarial Neural Networks
[K17-1024]:
Shafiq Joty
|
Preslav Nakov
|
Lluís Màrquez
|
Israa Jaradat
Knowledge Tracing in Sequential Learning of Inflected Vocabulary
[K17-1025]:
Adithya Renduchintala
|
Philipp Koehn
|
Jason Eisner
A Probabilistic Generative Grammar for Semantic Parsing
[K17-1026]:
Abulhair Saparov
|
Vijay Saraswat
|
Tom Mitchell
Learning Contextual Embeddings for Structural Semantic Similarity using
Categorical Information
[K17-1027]:
Massimo Nicosia
|
Alessandro Moschitti
Making Neural QA as Simple as Possible but not Simpler
[K17-1028]:
Dirk Weissenborn
|
Georg Wiese
|
Laura Seiffe
Neural Domain Adaptation for Biomedical Question Answering
[K17-1029]:
Georg Wiese
|
Dirk Weissenborn
|
Mariana Neves
A phoneme clustering algorithm based on the obligatory contour principle
[K17-1030]:
Mans Hulden
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector
from StockTwits
[K17-1031]:
Quanzhi Li
|
Sameena Shah
Learning local and global contexts using a convolutional recurrent network
model for relation classification in biomedical text
[K17-1032]:
Desh Raj
|
SUNIL SAHU
|
Ashish Anand
Idea density for predicting Alzheimer's disease from transcribed speech
[K17-1033]:
Kairit Sirts
|
Olivier Piguet
|
Mark Johnson
Zero-Shot Relation Extraction via Reading Comprehension
[K17-1034]:
Omer Levy
|
Minjoon Seo
|
Eunsol Choi
|
Luke Zettlemoyer
The Covert Helps Parse the Overt
[K17-1035]:
Xun Zhang
|
Weiwei Sun
|
Xiaojun Wan
German in Flux: Detecting Metaphoric Change via Word Entropy
[K17-1036]:
Dominik Schlechtweg
|
Stefanie Eckmann
|
Enrico Santus
|
Sabine Schulte im Walde
|
Daniel Hole
Encoding of phonology in a recurrent neural model of grounded speech
[K17-1037]:
Afra Alishahi
|
Marie Barking
|
Grzegorz Chrupała
Multilingual Semantic Parsing And Code-Switching
[K17-1038]:
Long Duong
|
Hadi Afshar
|
Dominique Estival
|
Glen Pink
|
Philip Cohen
|
Mark Johnson
Optimizing Differentiable Relaxations of Coreference Evaluation Metrics
[K17-1039]:
Phong Le
|
Ivan Titov
Neural Structural Correspondence Learning for Domain Adaptation
[K17-1040]:
Yftah Ziser
|
Roi Reichart
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based
Semantic Role Labeling
[K17-1041]:
Diego Marcheggiani
|
Anton Frolov
|
Ivan Titov
Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic
Part-of-Speech Tagging Exploiting Tag Dictionary Information
[K17-1042]:
Go Inoue
|
Hiroyuki Shindo
|
Yuji Matsumoto
Learning from Relatives: Unified Dialectal Arabic Segmentation
[K17-1043]:
Younes Samih
|
Mohamed Eldesouki
|
Mohammed Attia
|
Kareem Darwish
|
Ahmed Abdelali
|
Hamdy Mubarak
|
Laura Kallmeyer
Natural Language Generation for Spoken Dialogue System using RNN
Encoder-Decoder Networks
[K17-1044]:
Van-Khanh Tran
|
Le-Minh Nguyen
Graph-based Neural Multi-Document Summarization
[K17-1045]:
Michihiro Yasunaga
|
Rui Zhang
|
Kshitijh Meelu
|
Ayush Pareek
|
Krishnan Srinivasan
|
Dragomir Radev
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal
Morphological Reinflection
Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal
Morphological Reinflection
[K17-2000]:
Mans Hulden
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in
52 Languages
[K17-2001]:
Ryan Cotterell
|
Christo Kirov
|
John Sylak-Glassman
|
Gėraldine Walther
|
Ekaterina Vylomova
|
Patrick Xia
|
Manaal Faruqui
|
Sandra Kübler
|
David Yarowsky
|
Jason Eisner
|
Mans Hulden
Training Data Augmentation for Low-Resource Morphological Inflection
[K17-2002]:
Toms Bergmanis
|
Katharina Kann
|
Hinrich Schütze
|
Sharon Goldwater
The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal
Morphological Reinflection
[K17-2003]:
Katharina Kann
|
Hinrich Schütze
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological
Reinflection
[K17-2004]:
Peter Makarov
|
Tatiana Ruzsics
|
Simon Clematide
Morphological Inflection Generation with Multi-space Variational
Encoder-Decoders
[K17-2005]:
Chunting Zhou
|
Graham Neubig
ISI at the SIGMORPHON 2017 Shared Task on Morphological Reinflection
[K17-2006]:
Abhisek Chakrabarty
|
Utpal Garain
Experiments on Morphological Reinflection: CoNLL-2017 Shared Task
[K17-2007]:
Akhilesh Sudhakar
|
Anil Kumar Singh
If you can't beat them, join them: the University of Alberta system description
[K17-2008]:
Garrett Nicolai
|
Bradley Hauer
|
Mohammad Motallebi
|
Saeed Najafi
|
Grzegorz Kondrak
Character Sequence-to-Sequence Model with Global Attention for Universal
Morphological Reinflection
[K17-2009]:
Qile Zhu
|
Yanjun Li
|
Xiaolin Li
Data Augmentation for Morphological Reinflection
[K17-2010]:
Miikka Silfverberg
|
Adam Wiemerslage
|
Ling Liu
|
Lingshuang Jack Mao
Seq2seq for Morphological Reinflection: When Deep Learning Fails
[K17-2011]:
Hajime Senuma
|
Akiko Aizawa
SU-RUG at the CoNLL-SIGMORPHON 2017 shared task: Morphological Inflection
with Attentional Sequence-to-Sequence Models
[K17-2012]:
Robert Östling
|
Johannes Bjerva
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw
Text to Universal Dependencies
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw
Text to Universal Dependencies
[K17-3000]:
Jan Hajič
|
Dan Zeman
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal
Dependencies
[K17-3001]:
Daniel Zeman
|
Martin Popel
|
Milan Straka
|
Jan Hajic
|
Joakim Nivre
|
Filip Ginter
|
Juhani Luotolahti
|
Sampo Pyysalo
|
Slav Petrov
|
Martin Potthast
|
Francis Tyers
|
Elena Badmaeva
|
Memduh Gokirmak
|
Anna Nedoluzhko
|
Silvie Cinkova
|
Jan Hajic jr.
|
Jaroslava Hlavacova
|
Václava Kettnerová
|
Zdenka Uresova
|
Jenna Kanerva
|
Stina Ojala
|
Anna Missilä
|
Christopher D. Manning
|
Sebastian Schuster
|
Siva Reddy
|
Dima Taji
|
Nizar Habash
|
Herman Leung
|
Marie-Catherine de Marneffe
|
Manuela Sanguinetti
|
Maria Simi
|
Hiroshi Kanayama
|
Valeria dePaiva
|
Kira Droganova
|
Héctor Martínez Alonso
|
Çağrı Çöltekin
|
Umut Sulubacak
|
Hans Uszkoreit
|
Vivien Macketanz
|
Aljoscha Burchardt
|
Kim Harris
|
Katrin Marheinecke
|
Georg Rehm
|
Tolga Kayadelen
|
Mohammed Attia
|
Ali Elkahky
|
Zhuoran Yu
|
Emily Pitler
|
Saran Lertpradit
|
Michael Mandl
|
Jesse Kirchner
|
Hector Fernandez Alcalde
|
Jana Strnadová
|
Esha Banerjee
|
Ruli Manurung
|
Antonio Stella
|
Atsuko Shimada
|
Sookyoung Kwak
|
Gustavo Mendonca
|
Tatiana Lando
|
Rattima Nitisaroj
|
Josie Li
Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
[K17-3002]:
Timothy Dozat
|
Peng Qi
|
Christopher D. Manning
Combining Global Models for Parsing Universal Dependencies
[K17-3003]:
Tianze Shi
|
Felix G. Wu
|
Xilun Chen
|
Yao Cheng
IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks
[K17-3004]:
Anders Björkelund
|
Agnieszka Falenska
|
Xiang Yu
|
Jonas Kuhn
The HIT-SCIR System for End-to-End Parsing of Universal Dependencies
[K17-3005]:
Wanxiang Che
|
Jiang Guo
|
Yuxuan Wang
|
Bo Zheng
|
Huaipeng Zhao
|
Yang Liu
|
Dechuan Teng
|
Ting Liu
A System for Multilingual Dependency Parsing based on Bidirectional LSTM
Feature Representations
[K17-3006]:
KyungTae Lim
|
Thierry Poibeau
Adversarial Training for Cross-Domain Universal Dependency Parsing
[K17-3007]:
Motoki Sato
|
Hitoshi Manabe
|
Hiroshi Noji
|
Yuji Matsumoto
Parsing with Context Embeddings
[K17-3008]:
Ömer Kırnap
|
Berkay Furkan Önder
|
Deniz Yuret
Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
[K17-3009]:
Milan Straka
|
Jana Straková
UParse: the Edinburgh system for the CoNLL 2017 UD shared task
[K17-3010]:
Clara Vania
|
Xingxing Zhang
|
Adam Lopez
Multi-Model and Crosslingual Dependency Analysis
[K17-3011]:
Johannes Heinecke
|
Munshi Asadullah
TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing
[K17-3012]:
Jenna Kanerva
|
Juhani Luotolahti
|
Filip Ginter
The parse is darc and full of errors: Universal dependency parsing with
transition-based and graph-based algorithms
[K17-3013]:
Kuan Yu
|
Pavel Sofroniev
|
Erik Schill
|
Erhard Hinrichs
A Novel Neural Network Model for Joint POS Tagging and Graph-based
Dependency Parsing
[K17-3014]:
Dat Quoc Nguyen
|
Mark Dras
|
Mark Johnson
A non-DNN Feature Engineering Approach to Dependency Parsing – FBAML at
CoNLL 2017 Shared Task
[K17-3015]:
Xian Qian
|
Yang Liu
A non-projective greedy dependency parser with bidirectional LSTMs
[K17-3016]:
David Vilares
|
Carlos Gómez-Rodríguez
LIMSI$@$CoNLL'17: UD Shared Task
[K17-3017]:
Lauriane Aufrant
|
Guillaume Wisniewski
|
François Yvon
RACAI's Natural Language Processing pipeline for Universal Dependencies
[K17-3018]:
Stefan Daniel Dumitrescu
|
Tiberiu Boroş
|
Dan Tufiş
Delexicalized transfer parsing for low-resource languages using
transformed and combined treebanks
[K17-3019]:
Ayan Das
|
Affan Zaffar
|
Sudeshna Sarkar
A Transition-based System for Universal Dependency Parsing
[K17-3020]:
Hao Wang
|
Hai Zhao
|
Zhisong Zhang
Corpus Selection Approaches for Multilingual Parsing from Raw Text to
Universal Dependencies
[K17-3021]:
Ryan Hornby
|
Clark Taylor
|
Jungyeul Park
From Raw Text to Universal Dependencies - Look, No Tags!
[K17-3022]:
Miryam de Lhoneux
|
Yan Shao
|
Ali Basirat
|
Eliyahu Kiperwasser
|
Sara Stymne
|
Yoav Goldberg
|
Joakim Nivre
Initial Explorations of CCG Supertagging for Universal Dependency Parsing
[K17-3023]:
Burak Kerim Akkuş
|
Heval Azizoglu
|
Ruket Cakici
CLCL (Geneva) DINN Parser: a Neural Network Dependency Parser Ten Years Later
[K17-3024]:
Christophe Moor
|
Paola Merlo
|
James Henderson
|
Haozhou Wang
A Fast and Lightweight System for Multilingual Dependency Parsing
[K17-3025]:
Tao Ji
|
Yuanbin Wu
|
Man Lan
The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a
#ParsingTragedy
[K17-3026]:
Eric De La Clergerie
|
Benoît Sagot
|
Djamé Seddah
Universal Joint Morph-Syntactic Processing: The Open University of
Israel's Submission to The CoNLL 2017 Shared Task
[K17-3027]:
Amir More
|
Reut Tsarfaty
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task
[K17-3028]:
Hiroshi Kanayama
|
Masayasu Muraoka
|
Katsumasa Yoshikawa
A rule-based system for cross-lingual parsing of Romance languages with
Universal Dependencies
[K17-3029]:
Marcos Garcia
|
Pablo Gamallo
Proceedings of The 20th SIGNLL Conference on Computational Natural
Language Learning
Proceedings of The 20th SIGNLL Conference on Computational Natural
Language Learning
[K16-1000]:
Stefan Riezler
|
Yoav Goldberg
Computational Natural Language Learning: +-20years +-Data +-Features
+-Multimodal +-Bioplausible
[K16-1001]:
David Powers
Generating Sentences from a Continuous Space
[K16-1002]:
Samuel R. Bowman
|
Luke Vilnis
|
Oriol Vinyals
|
Andrew Dai
|
Rafal Jozefowicz
|
Samy Bengio
Identifying Temporal Orientation of Word Senses
[K16-1003]:
Mohammed Hasanuzzaman
|
Gaėl Dias
|
Stėphane Ferrari
|
Yann Mathet
|
Andy Way
Semi-supervised Clustering for Short Text via Deep Representation Learning
[K16-1004]:
Zhiguo Wang
|
Haitao Mi
|
Abraham Ittycheriah
Neighborhood Mixture Model for Knowledge Base Completion
[K16-1005]:
Dat Quoc Nguyen
|
Kairit Sirts
|
Lizhen Qu
|
Mark Johnson
context2vec: Learning Generic Context Embedding with Bidirectional LSTM
[K16-1006]:
Oren Melamud
|
Jacob Goldberger
|
Ido Dagan
Learning to Jointly Predict Ellipsis and Comparison Structures
[K16-1007]:
Omid Bakhshandeh
|
Alexis Cornelia Wellwood
|
James Allen
Event Embeddings for Semantic Script Modeling
[K16-1008]:
Ashutosh Modi
Beyond Centrality and Structural Features: Learning Information Importance
for Text Summarization
[K16-1009]:
Markus Zopf
|
Eneldo Loza Mencía
|
Johannes Fürnkranz
Incremental Prediction of Sentence-final Verbs: Humans versus Machines
[K16-1010]:
Alvin Grissom II
|
Naho Orita
|
Jordan Boyd-Graber
A Data-driven Investigation of Corrective Feedback on Subject Omission
Errors in First Language Acquisition
[K16-1011]:
Sarah Hiller
|
Raquel Fernandez
Redefining part-of-speech classes with distributional semantic models
[K16-1012]:
Andrey Kutuzov
|
Erik Velldal
|
Lilja Øvrelid
Analyzing Learner Understanding of Novel L2 Vocabulary
[K16-1013]:
Rebecca Knowles
|
Adithya Renduchintala
|
Philipp Koehn
|
Jason Eisner
Modeling language evolution with codes that utilize context and phonetic
features
[K16-1014]:
Javad Nouri
|
Roman Yangarber
Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV
Series `Friends'
[K16-1015]:
Aditya Joshi
|
Vaibhav Tripathi
|
Pushpak Bhattacharyya
|
Mark J Carman
Leveraging Cognitive Features for Sentiment Analysis
[K16-1016]:
Abhijit Mishra
|
Diptesh Kanojia
|
Seema Nagar
|
Kuntal Dey
|
Pushpak Bhattacharyya
Modelling Context with User Embeddings for Sarcasm Detection in Social Media
[K16-1017]:
Silvio Amir
|
Byron C. Wallace
|
Hao Lyu
|
Paula Carvalho
|
Mario J. Silva
Learning when to trust distant supervision: An application to low-resource
POS tagging using cross-lingual projection
[K16-1018]:
Meng Fang
|
Trevor Cohn
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
[K16-1019]:
Swabha Swayamdipta
|
Miguel Ballesteros
|
Chris Dyer
|
Noah A. Smith
Beyond Prefix-Based Interactive Translation Prediction
[K16-1020]:
Jesús González-Rubio
|
Daniel Ortiz Martinez
|
Francisco Casacuberta
|
Jose Miguel Benedi Ruiz
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
[K16-1021]:
Daniel Beck
|
Lucia Specia
|
Trevor Cohn
Cross-Lingual Named Entity Recognition via Wikification
[K16-1022]:
Chen-Tse Tsai
|
Stephen Mayhew
|
Dan Roth
Coreference in Wikipedia: Main Concept Resolution
[K16-1023]:
Abbas Ghaddar
|
Phillippe Langlais
Event Linking with Sentential Features from Convolutional Neural Networks
[K16-1024]:
Sebastian Krause
|
Feiyu Xu
|
Hans Uszkoreit
|
Dirk Weissenborn
Joint Learning of the Embedding of Words and Entities for Named Entity
Disambiguation
[K16-1025]:
Ikuya Yamada
|
Hiroyuki Shindo
|
Hideaki Takeda
|
Yoshiyasu Takefuji
Entity Disambiguation by Knowledge and Text Jointly Embedding
[K16-1026]:
Wei Fang
|
Jianwen Zhang
|
Dilin Wang
|
Zheng Chen
|
Ming Li
Substring-based unsupervised transliteration with phonetic and contextual
knowledge
[K16-1027]:
Anoop Kunchukuttan
|
Pushpak Bhattacharyya
|
Mitesh M. Khapra
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
[K16-1028]:
Ramesh Nallapati
|
Bowen Zhou
|
Cicero dos Santos
|
Caglar Gulcehre
|
Bing Xiang
Compression of Neural Machine Translation Models via Pruning
[K16-1029]:
Abigail See
|
Minh-Thang Luong
|
Christopher D. Manning
Modelling the Usage of Discourse Connectives as Rational Speech Acts
[K16-1030]:
Frances Yung
|
Kevin Duh
|
Taku Komura
|
Yuji Matsumoto
Semi-supervised Convolutional Networks for Translation Adaptation with
Tiny Amount of In-domain Data
[K16-1031]:
Boxing Chen
|
Fei Huang
Proceedings of the CoNLL-16 shared task
Proceedings of the CoNLL-16 shared task
[K16-2000]:
Nianwen Xue
CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing
[K16-2001]:
Nianwen Xue
|
Hwee Tou Ng
|
Sameer Pradhan
|
Attapol Rutherford
|
Bonnie Webber
|
Chuan Wang
|
Hongmin Wang
OPT: Oslo–Potsdam–Teesside. Pipelining Rules, Rankers, and Classifier
Ensembles for Shallow Discourse Parsing
[K16-2002]:
Stephan Oepen
|
Jonathon Read
|
Tatjana Scheffler
|
Uladzimir Sidarenka
|
Manfred Stede
|
Erik Velldal
|
Lilja Øvrelid
An End-to-End Chinese Discourse Parser with Adaptation to Explicit and
Non-explicit Relation Recognition
[K16-2003]:
Xiaomian Kang
|
Haoran Li
|
Long Zhou
|
Jiajun Zhang
|
Chengqing Zong
Two End-to-end Shallow Discourse Parsers for English and Chinese in
CoNLL-2016 Shared Task
[K16-2004]:
Jianxiang Wang
|
Man Lan
Do We Really Need All Those Rich Linguistic Features? A Neural
Network-Based Approach to Implicit Sense Labeling
[K16-2005]:
Niko Schenk
|
Christian Chiarcos
|
Kathrin Donandt
|
Samuel Rönnqvist
|
Evgeny Stepanov
|
Giuseppe Riccardi
Discourse Sense Classification from Scratch using Focused RNNs
[K16-2006]:
Gregor Weiss
|
Marko Bajec
Robust Non-Explicit Neural Discourse Parser in English and Chinese
[K16-2007]:
Attapol Rutherford
|
Nianwen Xue
A Constituent Syntactic Parse Tree Based Discourse Parser
[K16-2008]:
Zhongyi Li
|
Hai Zhao
|
Chenxi Pang
|
Lili Wang
|
Huan Wang
SoNLP-DP System for ConLL-2016 English Shallow Discourse Parsing
[K16-2009]:
Fang Kong
|
Sheng Li
|
Junhui Li
|
Muhua Zhu
|
Guodong Zhou
Shallow Discourse Parsing Using Convolutional Neural Network
[K16-2010]:
Lianhui Qin
|
Zhisong Zhang
|
Hai Zhao
SoNLP-DP System for ConLL-2016 Chinese Shallow Discourse Parsing
[K16-2011]:
Junhui Li
|
Fang Kong
|
Sheng Li
|
Muhua Zhu
|
Guodong Zhou
UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task
[K16-2012]:
Evgeny Stepanov
|
Giuseppe Riccardi
The CLaC Discourse Parser at CoNLL-2016
[K16-2013]:
Majid Laali
|
Andre Cianflone
|
Leila Kosseim
Discourse Relation Sense Classification Using Cross-argument Semantic
Similarity Based on Word Embeddings
[K16-2014]:
Todor Mihaylov
|
Anette Frank
IIT (BHU) Submission on the CoNLL-2016 Shared Task: Shallow Discourse
Parsing using Semantic Lexicons
[K16-2015]:
Manpreet Kaur
|
Nishu Kumari
|
Anil Kumar Singh
|
Rajeev Sangal
The Virginia Tech System at CoNLL-2016 Shared Task on Shallow Discourse Parsing
[K16-2016]:
Prashant Chandrasekar
|
Xuan Zhang
|
Saurabh Chakravarty
|
Arijit Ray
|
John Krulick
|
Alla Rozovskaya
DA-IICT Submission for PDTB-styled Discourse Parser
[K16-2017]:
Devanshu Jain
|
Prasenjit Majumder
Discourse Relation Sense Classification with Two-Step Classifiers
[K16-2018]:
Yusuke Kido
|
Akiko Aizawa
Adapting Event Embedding for Implicit Discourse Relation Recognition
[K16-2019]:
Maria Leonor Pacheco
|
I-Ta Lee
|
Xiao Zhang
|
Abdullah Khan Zehady
|
Pranjal Daga
|
Di Jin
|
Ayush Parolia
|
Dan Goldwasser
SDP-JAIST: A Shallow Discourse Parsing system $@$ CoNLL 2016 Shared Task
[K16-2020]:
Minh Nguyen
Finding Arguments as Sequence Labeling in Discourse Parsing
[K16-2021]:
Ziwei Fan
|
Zhenghua Li
|
Min Zhang
Discourse Relation Sense Classification Systems for CoNLL-2016 Shared Task
[K16-2022]:
Ping Jian
|
Xiaohan She
|
Chenwei Zhang
|
Pengcheng Zhang
|
Jian Feng
Proceedings of the 7th Workshop on Cognitive Aspects of Computational
Language Learning
Proceedings of the 7th Workshop on Cognitive Aspects of Computational
Language Learning
[W16-1900]:
Anna Korhonen
|
Alessandro Lenci
|
Brian Murphy
|
Thierry Poibeau
|
Aline Villavicencio
Automated Discourse Analysis of Narrations by Adolescents with Autistic
Spectrum Disorder
[W16-1901]:
Michaela Regneri
|
Diane King
Detection of Alzheimer's disease based on automatic analysis of common
objects descriptions
[W16-1902]:
Laura Hernandez-Dominguez
|
Edgar Garcia-Cano
|
Sylvie Ratté
|
Gerardo Sierra Martínez
Conversing with the elderly in Latin America: a new cohort for
multimodal, multilingual longitudinal studies on aging
[W16-1903]:
Laura Hernandez-Dominguez
|
Sylvie Ratté
|
Boyd Davis
|
Charlene Pope
Leveraging Annotators' Gaze Behaviour for Coreference Resolution
[W16-1904]:
Joe Cheri
|
Abhijit Mishra
|
Pushpak Bhattacharyya
From alignment of etymological data to phylogenetic inference via
population genetics
[W16-1905]:
Javad Nouri
|
Roman Yangarber
An incremental model of syntactic bootstrapping
[W16-1906]:
Christos Christodoulopoulos
|
Dan Roth
|
Cynthia Fisher
Longitudinal Studies of Variation Sets in Child-directed Speech
[W16-1907]:
Mats Wirén
|
Kristina Nilsson Björkenstam
|
Gintaré Grigonyté
|
Elisabet Eir Cortes
Learning Phone Embeddings for Word Segmentation of Child-Directed Speech
[W16-1908]:
Jianqiang Ma
|
Çağrı Çöltekin
|
Erhard Hinrichs
Generalization in Artificial Language Learning: Modelling the Propensity
to Generalize
[W16-1909]:
Raquel Garrido Alhama
|
Willem Zuidema
Explicit Causal Connections between the Acquisition of Linguistic Tiers:
Evidence from Dynamical Systems Modeling
[W16-1910]:
Daniel Spokoyny
|
Jeremy Irvin
|
Fermin Moscoso del Prado Martin
Modelling the informativeness and timing of non-verbal cues in
parent-child interaction
[W16-1911]:
Kristina Nilsson Björkenstam
|
Mats Wirén
|
Robert Östling
Proceedings of the Nineteenth Conference on Computational Natural Language
Learning
Proceedings of the Nineteenth Conference on Computational Natural Language
Learning
[K15-1000]:
A Coactive Learning View of Online Structured Prediction in Statistical
Machine Translation
[K15-1001]:
Artem Sokolov
|
Stefan Riezler
|
Shay B. Cohen
A Joint Framework for Coreference Resolution and Mention Head Detection
[K15-1002]:
Haoruo Peng
|
Kai-Wei Chang
|
Dan Roth
A Supertag-Context Model for Weakly-Supervised CCG Parser Learning
[K15-1003]:
Dan Garrette
|
Chris Dyer
|
Jason Baldridge
|
Noah A. Smith
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing
[K15-1004]:
Xiaochang Peng
|
Linfeng Song
|
Daniel Gildea
AIDA2: A Hybrid Approach for Token and Sentence Level Dialect
Identification in Arabic
[K15-1005]:
Mohamed Al-Badrashiny
|
Heba Elfardy
|
Mona Diab
An Iterative Similarity based Adaptation Technique for Cross-domain Text
Classification
[K15-1006]:
Himanshu Sharad Bhatt
|
Deepali Semwal
|
Shourya Roy
Analyzing Optimization for Statistical Machine Translation: MERT Learns
Verbosity, PRO Learns Length
[K15-1007]:
Francisco Guzmán
|
Preslav Nakov
|
Stephan Vogel
Annotation Projection-based Representation Learning for Cross-lingual
Dependency Parsing
[K15-1008]:
MIN XIAO
|
Yuhong Guo
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The
Impact of Word Representations on Sequence Labelling Tasks
[K15-1009]:
Lizhen Qu
|
Gabriela Ferraro
|
Liyuan Zhou
|
Weiwei Hou
|
Nathan Schneider
|
Timothy Baldwin
Contrastive Analysis with Predictive Power: Typology Driven Estimation of
Grammatical Error Distributions in ESL
[K15-1010]:
Yevgeni Berzak
|
Roi Reichart
|
Boris Katz
Cross-lingual syntactic variation over age and gender
[K15-1011]:
Anders Johannsen
|
Dirk Hovy
|
Anders Søgaard
Cross-lingual Transfer for Unsupervised Dependency Parsing Without
Parallel Data
[K15-1012]:
Long Duong
|
Trevor Cohn
|
Steven Bird
|
Paul Cook
Detecting Semantically Equivalent Questions in Online User Forums
[K15-1013]:
Dasha Bogdanova
|
Cicero dos Santos
|
Luciano Barbosa
|
Bianca Zadrozny
Entity Linking Korean Text: An Unsupervised Learning Approach using
Semantic Relations
[K15-1014]:
Youngsik Kim
|
Key-Sun Choi
Incremental Recurrent Neural Network Dependency Parser with Search-based
Discriminative Training
[K15-1015]:
Majid Yazdani
|
James Henderson
Instance Selection Improves Cross-Lingual Model Training for Fine-Grained
Sentiment Analysis
[K15-1016]:
Roman Klinger
|
Philipp Cimiano
Labeled Morphological Segmentation with Semi-Markov Models
[K15-1017]:
Ryan Cotterell
|
Thomas Müller
|
Alexander Fraser
|
Hinrich Schütze
Learning to Exploit Structured Resources for Lexical Inference
[K15-1018]:
Vered Shwartz
|
Omer Levy
|
Ido Dagan
|
Jacob Goldberger
Linking Entities Across Images and Text
[K15-1019]:
Rebecka Weegar
|
Kalle Åström
|
Pierre Nugues
Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA
[K15-1020]:
Paul Felt
|
Eric Ringger
|
Jordan Boyd-Graber
|
Kevin Seppi
Multichannel Variable-Size Convolution for Sentence Classification
[K15-1021]:
Wenpeng Yin
|
Hinrich Schütze
Opinion Holder and Target Extraction based on the Induction of Verbal
Categories
[K15-1022]:
Michael Wiegand
|
Josef Ruppenhofer
Quantity, Contrast, and Convention in Cross-Situated Language Comprehension
[K15-1023]:
Ian Perera
|
James Allen
Recovering Traceability Links in Requirements Documents
[K15-1024]:
Zeheng Li
|
Mingrui Chen
|
LiGuo Huang
|
Vincent Ng
Structural and lexical factors in adjective placement in complex noun
phrases across Romance languages
[K15-1025]:
Kristina Gulordava
|
Paola Merlo
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
[K15-1026]:
Roy Schwartz
|
Roi Reichart
|
Ari Rappoport
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
[K15-1027]:
Kazuma Hashimoto
|
Pontus Stenetorp
|
Makoto Miwa
|
Yoshimasa Tsuruoka
Temporal Information Extraction from Korean Texts
[K15-1028]:
Young-Seob Jeong
|
Zae Myung Kim
|
Hyun-Woo Do
|
Chae-Gyun Lim
|
Ho-Jin Choi
Transition-based Spinal Parsing
[K15-1029]:
Miguel Ballesteros
|
Xavier Carreras
Accurate Cross-lingual Projection between Count-based Word Vectors by
Exploiting Translatable Context Pairs
[K15-1030]:
Shonosuke Ishiwatari
|
Nobuhiro Kaji
|
Naoki Yoshinaga
|
Masashi Toyoda
|
Masaru Kitsuregawa
Deep Neural Language Models for Machine Translation
[K15-1031]:
Thang Luong
|
Michael Kayser
|
Christopher D. Manning
Finding Opinion Manipulation Trolls in News Community Forums
[K15-1032]:
Todor Mihaylov
|
Georgi Georgiev
|
Preslav Nakov
Do dependency parsing metrics correlate with human judgments?
[K15-1033]:
Barbara Plank
|
Héctor Martínez Alonso
|
Željko Agić
|
Danijela Merkler
|
Anders Søgaard
Feature Selection for Short Text Classification using Wavelet Packet Transform
[K15-1034]:
Anuj Mahajan
|
sharmistha Jat
|
Shourya Roy
Learning Adjective Meanings with a Tensor-Based Skip-Gram Model
[K15-1035]:
Jean Maillard
|
Stephen Clark
Model Selection for Type-Supervised Learning with Application to POS Tagging
[K15-1036]:
Kristina Toutanova
|
Waleed Ammar
|
Pallavi Choudhury
|
Hoifung Poon
One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction
[K15-1037]:
Kaveh Taghipour
|
Hwee Tou Ng
Reading behavior predicts syntactic categories
[K15-1038]:
Maria Barrett
|
Anders Søgaard
Proceedings of the Nineteenth Conference on Computational Natural Language
Learning - Shared Task
Proceedings of the Nineteenth Conference on Computational Natural Language
Learning - Shared Task
[K15-2000]:
The CoNLL-2015 Shared Task on Shallow Discourse Parsing
[K15-2001]:
Nianwen Xue
|
Hwee Tou Ng
|
Sameer Pradhan
|
Rashmi Prasad
|
Christopher Bryant
|
Attapol Rutherford
A Refined End-to-End Discourse Parser
[K15-2002]:
Jianxiang Wang
|
Man Lan
The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence
Labeling with Argument-specific Models
[K15-2003]:
Evgeny Stepanov
|
Giuseppe Riccardi
|
Ali Orkan Bayer
The SoNLP-DP System in the CoNLL-2015 shared Task
[K15-2004]:
Fang Kong
|
Sheng Li
|
Guodong Zhou
Shallow Discourse Parsing Using Constituent Parsing Tree
[K15-2005]:
Changge Chen
|
Peilu Wang
|
Hai Zhao
A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation
Recognition
[K15-2006]:
Christian Chiarcos
|
Niko Schenk
A Hybrid Discourse Relation Parser in CoNLL 2015
[K15-2007]:
Sobha Lalitha Devi
|
Sindhuja Gopalan
|
Lakshmi S
|
Pattabhi RK Rao
|
Vijay Sundar Ram
|
Malarkodi C.S.
The CLaC Discourse Parser at CoNLL-2015
[K15-2008]:
Majid Laali
|
Elnaz Davoodi
|
Leila Kosseim
Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features
[K15-2009]:
Shubham Mukherjee
|
Abhishek Tiwari
|
Mohit Gupta
|
Anil Kumar Singh
JAIST: A two-phase machine learning approach for identifying discourse
relations in newswire texts
[K15-2010]:
Son Nguyen
|
Quoc Ho
|
Minh Nguyen
The DCU Discourse Parser: A Sense Classification Task
[K15-2011]:
Tsuyoshi Okita
|
Longyue Wang
|
Qun Liu
Improving a Pipeline Architecture for Shallow Discourse Parsing
[K15-2012]:
Yangqiu Song
|
Haoruo Peng
|
Parisa Kordjamshidi
|
Mark Sammons
|
Dan Roth
A Shallow Discourse Parsing System Based On Maximum Entropy Model
[K15-2013]:
Jia Sun
|
Peijia Li
|
Weiqun Xu
|
Yonghong Yan
The DCU Discourse Parser for Connective, Argument Identification and
Explicit Sense Classification
[K15-2014]:
Longyue Wang
|
Chris Hokamp
|
Tsuyoshi Okita
|
Xiaojun Zhang
|
Qun Liu
Hybrid Approach to PDTB-styled Discourse Parsing for CoNLL-2015
[K15-2015]:
Yasuhisa Yoshida
|
Katsuhiko Hayashi
|
Tsutomu Hirao
|
Masaaki Nagata
Proceedings of the Sixth Workshop on Cognitive Aspects of Computational
Language Learning
Proceedings of the Sixth Workshop on Cognitive Aspects of Computational
Language Learning
[W15-2400]:
Robert Berwick
|
Anna Korhonen
|
Alessandro Lenci
|
Thierry Poibeau
|
Aline Villavicencio
Using reading behavior to predict grammatical functions
[W15-2401]:
Maria Barrett
|
Anders Søgaard
Reading metrics for estimating task efficiency with MT output
[W15-2402]:
Sigrid Klerke
|
Sheila Castilho
|
Maria Barrett
|
Anders Søgaard
Evaluating Models of Computation and Storage in Human Sentence Processing
[W15-2403]:
Thang Luong
|
Timothy O'Donnell
|
Noah Goodman
An agent-based model of a historical word order change
[W15-2404]:
Jelke Bloem
|
Arjen Versloot
|
Fred Weerman
Towards a Model of Prediction-based Syntactic Category Acquisition: First
Steps with Word Embeddings
[W15-2405]:
Robert Grimm
|
Giovanni Cassani
|
Walter Daelemans
|
Steven Gillis
Which distributional cues help the most? Unsupervised contexts selection
for lexical category acquisition
[W15-2406]:
Giovanni Cassani
|
Robert Grimm
|
Walter Daelemans
|
Steven Gillis
Language Emergence in a Population of Artificial Agents Equipped with the
Autotelic Principle
[W15-2407]:
Miquel Cornudella
|
Thierry Poibeau
A Computational Study of Cross-situational Lexical Learning of Brazilian
Portuguese
[W15-2408]:
Pablo Faria
Units in segmentation: a computational investigation
[W15-2409]:
Çağrı Çöltekin
Estimating Grammeme Redundancy by Measuring Their Importance for
Syntactic Parser Performance
[W15-2410]:
Aleksandrs Berdicevskis
Improving Coordination on Novel Meaning through Context and Semantic Structure
[W15-2411]:
Thomas Brochhagen
Perceptual, conceptual, and frequency effects on error patterns in
English color term acquisition
[W15-2412]:
Barend Beekhuizen
|
Suzanne Stevenson
Motif discovery in infant- and adult-directed speech
[W15-2413]:
Bogdan Ludusan
|
Amanda Seidl
|
Emmanuel Dupoux
|
Alex Cristia
Modeling dative alternations of individual children
[W15-2414]:
Antal van den Bosch
|
Joan Bresnan
Proceedings of the 6th Workshop on Computational Approaches to
Subjectivity, Sentiment and Social Media Analysis
Proceedings of the 6th Workshop on Computational Approaches to
Subjectivity, Sentiment and Social Media Analysis
[W15-2900]:
Alexandra Balahur
|
Erik van der Goot
|
Piek Vossen
|
Andres Montoyo
Multilingual Affect Polarity and Valence Prediction in Metaphors
[W15-2901]:
Zornitsa Kozareva
Sentiment Analysis on Monolingual, Multilingual and Code-Switching
Twitter Corpora
[W15-2902]:
David Vilares
|
Miguel A. Alonso
|
Carlos Gómez-Rodríguez
Connotation in Translation
[W15-2903]:
Marine Carpuat
Enhanced Twitter Sentiment Classification Using Contextual Information
[W15-2904]:
Soroush Vosoughi
|
Helen Zhou
|
deb roy
Your Sentiment Precedes You: Using an author’s historical tweets to
predict sarcasm
[W15-2905]:
Anupam Khattri
|
Aditya Joshi
|
Pushpak Bhattacharyya
|
Mark Carman
Optimising Agile Social Media Analysis
[W15-2906]:
Thomas Kober
|
David Weir
Utilizing review analysis to suggest product advertisement improvements
[W15-2907]:
Takaaki Tsunoda
|
Takashi Inui
|
Satoshi Sekine
Towards Opinion Mining from Reviews for the Prediction of Product Rankings
[W15-2908]:
Wiltrud Kessler
|
Roman Klinger
|
Jonas Kuhn
Classification of deceptive opinions using a low dimensionality representation
[W15-2909]:
Leticia Cagnina
|
Paolo Rosso
Extending effect annotation with lexical decomposition
[W15-2910]:
Josef Ruppenhofer
|
Jasper Brandes
Analysing domain suitability of a sentiment lexicon by identifying
distributionally bipolar words
[W15-2911]:
Lucie Flekova
|
Daniel Preoţiuc-Pietro
|
Eugen Ruppert
Imagisaurus: An Interactive Visualizer of Valence and Emotion in the
Roget's Thesaurus
[W15-2912]:
Saif Mohammad
Personality Traits on Twitter—or—How to Get 1,500 Personality Tests in a Week
[W15-2913]:
Barbara Plank
|
Dirk Hovy
Negation Scope Detection for Twitter Sentiment Analysis
[W15-2914]:
Johan Reitan
|
Jørgen Faret
|
Björn Gambäck
|
Lars Bungum
A Linguistically Informed Convolutional Neural Network
[W15-2915]:
Sebastian Ebert
|
Ngoc Thang Vu
|
Hinrich Schütze
How much does word sense disambiguation help in sentiment analysis of
micropost data?
[W15-2916]:
Chiraag Sumanth
|
Diana Inkpen
Predicting Ratings for New Movie Releases from Twitter Content
[W15-2917]:
Wernard Schmit
|
Sander Wubben
Beyond Sentiment: Social Psychological Analysis of Political Facebook
Comments in Hungary
[W15-2918]:
Márton Miháltz
|
Tamás Váradi
|
István Csertő
|
Éva Fülöp
|
Tibor Pólya
|
Pál Kővágó
Verb-centered Sentiment Inference with Description Logics
[W15-2919]:
Manfred Klenner
Mining HEXACO personality traits from Enterprise Social Media
[W15-2920]:
Priyanka Sinha
|
Lipika Dey
|
Pabitra Mitra
|
Anupam Basu
Opinion Holder and Target Extraction for Verb-based Opinion Predicates –
The Problem is Not Solved
[W15-2921]:
Michael Wiegand
|
Marc Schulder
|
Josef Ruppenhofer
Synthetic Text Generation for Sentiment Analysis
[W15-2922]:
Umar Maqsud
Detecting speculations, contrasts and conditionals in consumer reviews
[W15-2923]:
Maria Skeppstedt
|
Teri Schamp-Bjerede
|
Magnus Sahlgren
|
Carita Paradis
|
Andreas Kerren
Using Combined Lexical Resources to Identify Hashtag Types
[W15-2924]:
Credell Simeon
|
Robert Hilderman
Sentiment Classification via a Response Recalibration Framework
[W15-2925]:
Phillip Smith
|
Mark Lee
Proceedings of the Eighteenth Conference on Computational Natural Language
Learning
Proceedings of the Eighteenth Conference on Computational Natural Language
Learning
[W14-1600]:
Roser Morante
|
Scott Wen-tau Yih
What's in a p-value in NLP?
[W14-1601]:
Anders Søgaard
|
Anders Johannsen
|
Barbara Plank
|
Dirk Hovy
|
Héctor Martínez Alonso
Domain-Specific Image Captioning
[W14-1602]:
Rebecca Mason
|
Eugene Charniak
Reconstructing Native Language Typology from Foreign Language Usage
[W14-1603]:
Yevgeni Berzak
|
Roi Reichart
|
Boris Katz
Automatic Transliteration of Romanized Dialectal Arabic
[W14-1604]:
Mohamed Al-Badrashiny
|
Ramy Eskander
|
Nizar Habash
|
Owen Rambow
Learning to Rank Answer Candidates for Automatic Resolution of Crossword
Puzzles
[W14-1605]:
Gianni Barlacchi
|
Massimo Nicosia
|
Alessandro Moschitti
Inducing Neural Models of Script Knowledge
[W14-1606]:
Ashutosh Modi
|
Ivan Titov
Grounding Language with Points and Paths in Continuous Spaces
[W14-1607]:
Jacob Andreas
|
Dan Klein
Looking for Hyponyms in Vector Space
[W14-1608]:
Marek Rei
|
Ted Briscoe
Lexicon Infused Phrase Embeddings for Named Entity Resolution
[W14-1609]:
Alexandre Passos
|
Vineet Kumar
|
Andrew McCallum
Focused Entailment Graphs for Open IE Propositions
[W14-1610]:
Omer Levy
|
Ido Dagan
|
Jacob Goldberger
Improved Pattern Learning for Bootstrapped Entity Extraction
[W14-1611]:
Sonal Gupta
|
Christopher Manning
Towards Temporal Scoping of Relational Facts based on Wikipedia Data
[W14-1612]:
Avirup Sil
|
Silviu-Petru Cucerzan
Distributed Word Representation Learning for Cross-Lingual Dependency Parsing
[W14-1613]:
Min Xiao
|
Yuhong Guo
Treebank Translation for Cross-Lingual Parser Induction
[W14-1614]:
Jörg Tiedemann
|
Željko Agić
|
Joakim Nivre
Weakly-Supervised Bayesian Learning of a CCG Supertagger
[W14-1615]:
Dan Garrette
|
Chris Dyer
|
Jason Baldridge
|
Noah A. Smith
Factored Markov Translation with Robust Modeling
[W14-1616]:
Yang Feng
|
Trevor Cohn
|
Xinkai Du
Hallucinating Phrase Translations for Low Resource MT
[W14-1617]:
Ann Irvine
|
Chris Callison-Burch
Linguistic Regularities in Sparse and Explicit Word Representations
[W14-1618]:
Omer Levy
|
Yoav Goldberg
Probabilistic Modeling of Joint-context in Distributional Similarity
[W14-1619]:
Oren Melamud
|
Ido Dagan
|
Jacob Goldberger
|
Idan Szpektor
|
Deniz Yuret
A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition
[W14-1620]:
Abdellah Fourtassi
|
Emmanuel Dupoux
Proceedings of the Eighteenth Conference on Computational Natural Language
Learning: Shared Task
Proceedings of the Eighteenth Conference on Computational Natural Language
Learning: Shared Task
[W14-1700]:
Hwee Tou Ng
|
Siew Mei Wu
|
Ted Briscoe
|
Christian Hadiwinoto
|
Raymond Hendy Susanto
|
Christopher Bryant
The CoNLL-2014 Shared Task on Grammatical Error Correction
[W14-1701]:
Hwee Tou Ng
|
Siew Mei Wu
|
Ted Briscoe
|
Christian Hadiwinoto
|
Raymond Hendy Susanto
|
Christopher Bryant
Grammatical error correction using hybrid systems and type filtering
[W14-1702]:
Mariano Felice
|
Zheng Yuan
|
Øistein E. Andersen
|
Helen Yannakoudakis
|
Ekaterina Kochmar
The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction
by Data-Intensive and Feature-Rich Statistical Machine Translation
[W14-1703]:
Marcin Junczys-Dowmunt
|
Roman Grundkiewicz
The Illinois-Columbia System in the CoNLL-2014 Shared Task
[W14-1704]:
Alla Rozovskaya
|
Kai-Wei Chang
|
Mark Sammons
|
Dan Roth
|
Nizar Habash
RACAI GEC – A hybrid approach to Grammatical Error Correction
[W14-1705]:
Tiberiu Boroş
|
Stefan Daniel Dumitrescu
|
Adrian Zafiu
|
Verginica Barbu Mititelu
|
Ionut Paul Vaduva
Grammatical Error Detection Using Tagger Disagreement
[W14-1706]:
Anubhav Gupta
CoNLL 2014 Shared Task: Grammatical Error Correction with a Syntactic
N-gram Language Model from a Big Corpora
[W14-1707]:
S. David Hdez.
|
Hiram Calvo
Tuning a Grammar Correction System for Increased Precision
[W14-1708]:
Anoop Kunchukuttan
|
Sriram Chaudhury
|
Pushpak Bhattacharyya
POSTECH Grammatical Error Correction System in the CoNLL-2014 Shared Task
[W14-1709]:
Kyusong Lee
|
Gary Geunbae Lee
Grammatical Error Detection and Correction using a Single Maximum Entropy Model
[W14-1710]:
Peilu Wang
|
Zhongye Jia
|
Hai Zhao
Factored Statistical Machine Translation for Grammatical Error Correction
[W14-1711]:
Yiming Wang
|
Longyue Wang
|
Xiaodong Zeng
|
Derek F. Wong
|
Lidia S. Chao
|
Yi Lu
NTHU at the CoNLL-2014 Shared Task
[W14-1712]:
Jian-Cheng Wu
|
Tzu-Hsi Yen
|
Jim Chang
|
Guan-Cheng Huang
|
Jimmy Chang
|
Hsiang-Ling Hsu
|
Yu-Wei Chang
|
Jason S. Chang
A Unified Framework for Grammar Error Correction
[W14-1713]:
Longkai Zhang
|
Houfeng WANG
Proceedings of the 5th Workshop on Computational Approaches to
Subjectivity, Sentiment and Social Media Analysis
Proceedings of the 5th Workshop on Computational Approaches to
Subjectivity, Sentiment and Social Media Analysis
[W14-2600]:
Alexandra Balahur
|
Erik Goot
|
Ralf Steinberger
|
Andres Montoyo
Words: Evaluative, Emotional, Colourful, Musical!
[W14-2601]:
Saif Mohammad
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages
[W14-2602]:
Jakob Elming
|
Barbara Plank
|
Dirk Hovy
An Investigation for Implicatures in Chinese : Implicatures in Chinese and
in English are similar !
[W14-2603]:
Lingjia Deng
|
Janyce Wiebe
Inducing Domain-specific Noun Polarity Guided by Domain-independent
Polarity Preferences of Adjectives
[W14-2604]:
Manfred Klenner
|
Michael Amsler
|
Nora Hollenstein
Aspect-Level Sentiment Analysis in Czech
[W14-2605]:
Josef Steinberger
|
Tomáš Brychcín
|
Michal Konkol
Linguistic Models of Deceptive Opinion Spam
[W14-2606]:
Myle Ott
Semantic Role Labeling of Emotions in Tweets
[W14-2607]:
Saif Mohammad
|
Xiaodan Zhu
|
Joel Martin
An Impact Analysis of Features in a Classification Approach to Irony
Detection in Product Reviews
[W14-2608]:
Konstantin Buschmeier
|
Philipp Cimiano
|
Roman Klinger
Modelling Sarcasm in Twitter, a Novel Approach
[W14-2609]:
Francesco Barbieri
|
Horacio Saggion
|
Francesco Ronzano
Emotive or Non-emotive: That is The Question
[W14-2610]:
Michal Ptaszynski
|
Fumito Masui
|
Rafal Rzepka
|
Kenji Araki
Challenges in Creating a Multilingual Sentiment Analysis Application for
Social Media Mining
[W14-2611]:
Alexandra Balahur
|
Hristo Tanev
|
Erik van der Goot
Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams
[W14-2612]:
Ilia Chetviorkin
|
Natalia Loukachevitch
Linguistically Informed Tweet Categorization for Online Reputation Management
[W14-2613]:
Gerard Lynch
|
Pádraig Cunningham
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme
for Sentiment Analysis and Text Classification
[W14-2614]:
Yoon Kim
|
Owen Zhang
Opinion Mining and Topic Categorization with Novel Term Weighting
[W14-2615]:
Tatiana Gasanova
|
Roman Sergienko
|
Shakhnaz Akhmedova
|
Eugene Semenkin
|
Wolfgang Minker
Sentiment classification of online political discussions: a comparison of
a word-based and dependency-based method
[W14-2616]:
Hugo Lewi Hammer
|
Per Erik Solberg
|
Lilja Øvrelid
Improving Agreement and Disagreement Identification in Online Discussions
with A Socially-Tuned Sentiment Lexicon
[W14-2617]:
Lu Wang
|
Claire Cardie
Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of
Benefactive and Malefactive Events
[W14-2618]:
Yoonjung Choi
|
Lingjia Deng
|
Janyce Wiebe
Dive deeper: Deep Semantics for Sentiment Analysis
[W14-2619]:
Nikhilkumar Jadhav
|
Pushpak Bhattacharyya
Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading
[W14-2620]:
Siavash Kazemian
|
Shunan Zhao
|
Gerald Penn
Sentiment Classification on Polarity Reviews: An Empirical Study Using
Rating-based Features
[W14-2621]:
Dai Quoc Nguyen
|
Dat Quoc Nguyen
|
Thanh Vu
|
Son Bao Pham
Effect of Using Regression on Class Confidence Scores in Sentiment
Analysis of Twitter Data
[W14-2622]:
Itir Onal
|
Ali Mert Ertugrul
|
Ruken Cakici
A cognitive study of subjectivity extraction in sentiment annotation
[W14-2623]:
Abhijit Mishra
|
Aditya Joshi
|
Pushpak Bhattacharyya
The Use of Text Similarity and Sentiment Analysis to Examine Rationales in
the Large-Scale Online Deliberations
[W14-2624]:
Wanting Mao
|
Lu Xiao
|
Robert Mercer
A Conceptual Framework for Inferring Implicatures
[W14-2625]:
Janyce Wiebe
|
Lingjia Deng
Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
[W13-1600]:
Alexandra Balahur
|
Erik van der Goot
|
Andres Montoyo
Recent adventures with emotion-reading technology
[W13-1601]:
Rosalind Picard
Bootstrapped Learning of Emotion Hashtags #hashtags4you
[W13-1602]:
Ashequl Qadir
|
Ellen Riloff
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation
[W13-1603]:
Valentina Sintsova
|
Claudiu Musat
|
Pearl Pu
Spanish DAL: A Spanish Dictionary of Affect in Language
[W13-1604]:
Matías Dell' Amerlina Ríos
|
Agustin Gravano
The perfect solution for detecting sarcasm in tweets #not
[W13-1605]:
Christine Liebrecht
|
Florian Kunneman
|
Antal Van den Bosch
Using PU-Learning to Detect Deceptive Opinion Spam
[W13-1606]:
Donato Hernández
|
Rafael Guzmán
|
Manuel Móntes y Gomez
|
Paolo Rosso
Sexual predator detection in chats with chained classifiers
[W13-1607]:
Hugo Jair Escalante
|
Esaú Villatoro-Tello
|
Antonio Juárez
|
Manuel Montes-y-Gómez
|
Luis Villaseñor
Subjectivity and Sentiment Analysis of Modern Standard Arabic and Arabic Microblogs
[W13-1608]:
Ahmed Mourad
|
Kareem Darwish
Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
[W13-1609]:
Ivan Habernal
|
Tomáš Ptáček
|
Josef Steinberger
Tagging Opinion Phrases and their Targets in User Generated Textual Reviews
[W13-1610]:
Narendra Gupta
From newspaper to microblogging: What does it take to find opinions?
[W13-1611]:
Wladimir Sidorenko
|
Jonathan Sonntag
|
Nina Krüger
|
Stefan Stieglitz
|
Manfred Stede
Bilingual Experiments on an Opinion Comparable Corpus
[W13-1612]:
Eugenio Martínez-Cámara
|
M. Teresa Martín-Valdivia
|
M. Dolores Molina-González
|
L. Alfonso Ureña-López
RA-SR: Using a ranking algorithm to automatically building resources for subjectivity analysis over annotated corpora
[W13-1613]:
Yoan Gutiérrez
|
Andy González
|
Antonio Fernández
|
Andrés Montoyo
|
Rafael Muñoz
Sentiment analysis on Italian tweets
[W13-1614]:
Valerio Basile
|
malvina nissim
Sentence-Level Subjectivity Detection Using Neuro-Fuzzy Models
[W13-1615]:
Samir Rustamov
|
Elshan Mustafayev
|
Mark Clements
Sentiment Classification using Rough Set based Hybrid Feature Selection
[W13-1616]:
Basant Agarwal
|
Namita Mittal
Sentiment Analysis in Social Media Texts
[W13-1617]:
Alexandra Balahur
Proceedings of the Seventeenth Conference on Computational Natural Language Learning
Proceedings of the Seventeenth Conference on Computational Natural Language Learning
[W13-3500]:
Julia Hockenmaier
|
Sebastian Riedel
Online Active Learning for Cost Sensitive Domain Adaptation
[W13-3501]:
Min Xiao
|
Yuhong Guo
Analysis of Stopping Active Learning based on Stabilizing Predictions
[W13-3502]:
Michael Bloodgood
|
John Grothendieck
Improving Pointwise Mutual Information (PMI) by Incorporating Significant Co-occurrence
[W13-3503]:
Om Damani
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
[W13-3504]:
Teemu Ruokolainen
|
Oskar Kohonen
|
Sami Virpioja
|
Mikko Kurimo
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction
[W13-3505]:
Luheng He
|
Jennifer Gillenwater
|
Ben Taskar
A Boosted Semi-Markov Perceptron
[W13-3506]:
Tomoya Iwakura
Spectral Learning of Refinement HMMs
[W13-3507]:
Karl Stratos
|
Alexander Rush
|
Shay B. Cohen
|
Michael Collins
Sentence Compression with Joint Structural Inference
[W13-3508]:
Kapil Thadani
|
Kathleen McKeown
Learning Adaptable Patterns for Passage Reranking
[W13-3509]:
Aliaksei Severyn
|
Massimo Nicosia
|
Alessandro Moschitti
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition
[W13-3510]:
Alona Fyshe
|
Brian Murphy
|
Partha Talukdar
|
Tom Mitchell
Hidden Markov tree models for semantic class induction
[W13-3511]:
Edouard Grave
|
Guillaume Obozinski
|
Francis Bach
Better Word Representations with Recursive Neural Networks for Morphology
[W13-3512]:
Thang Luong
|
Richard Socher
|
Christopher Manning
Separating Disambiguation from Composition in Distributional Semantics
[W13-3513]:
Dimitri Kartsaklis
|
Mehrnoosh Sadrzadeh
|
Stephen Pulman
Frame Semantics for Stance Classification
[W13-3514]:
Kazi Saidul Hasan
|
Vincent Ng
Philosophers are Mortal: Inferring the Truth of Unseen Facts
[W13-3515]:
Gabor Angeli
|
Christopher Manning
Towards Robust Linguistic Analysis using OntoNotes
[W13-3516]:
Sameer Pradhan
|
Alessandro Moschitti
|
Nianwen Xue
|
Hwee Tou Ng
|
Anders Björkelund
|
Olga Uryupina
|
Yuchen Zhang
|
Zhi Zhong
Dynamic Knowledge-Base Alignment for Coreference Resolution
[W13-3517]:
Jiaping Zheng
|
Luke Vilnis
|
Sameer Singh
|
Jinho D. Choi
|
Andrew McCallum
A Non-Monotonic Arc-Eager Transition System for Dependency Parsing
[W13-3518]:
Matthew Honnibal
|
Yoav Goldberg
|
Mark Johnson
Collapsed Variational Bayesian Inference for PCFGs
[W13-3519]:
Pengyu Wang
|
Phil Blunsom
Polyglot: Distributed Word Representations for Multilingual NLP
[W13-3520]:
Rami Al-Rfou
|
Bryan Perozzi
|
Steven Skiena
Exploiting multiple hypotheses for Multilingual Spoken Language Understanding
[W13-3521]:
Marcos Calvo
|
Fernando García
|
Lluís-F. Hurtado
|
Santiago Jiménez
|
Emilio Sanchis
Multilingual WSD-like Constraints for Paraphrase Extraction
[W13-3522]:
Wilker Aziz
|
Lucia Specia
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus
[W13-3523]:
Xiaodong Liu
|
Kevin Duh
|
Yuji Matsumoto
Terminology Extraction Approaches for Product Aspect Detection in Customer Reviews
[W13-3524]:
Jürgen Broß
|
Heiko Ehrig
Acquisition of Desires before Beliefs: A Computional Investigation
[W13-3525]:
Libby Barak
|
Afsaneh Fazly
|
Suzanne Stevenson
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task
[W13-3600]:
Hwee Tou Ng
|
Joel Tetreault
|
Siew Mei Wu
|
Yuanbin Wu
|
Christian Hadiwinoto
The CoNLL-2013 Shared Task on Grammatical Error Correction
[W13-3601]:
Hwee Tou Ng
|
Siew Mei Wu
|
Yuanbin Wu
|
Christian Hadiwinoto
|
Joel Tetreault
The University of Illinois System in the CoNLL-2013 Shared Task
[W13-3602]:
Alla Rozovskaya
|
Kai-Wei Chang
|
Mark Sammons
|
Dan Roth
CoNLL-2013 Shared Task: Grammatical Error Correction NTHU System Description
[W13-3603]:
Ting-hui Kao
|
Yu-wei Chang
|
Hsun-wen Chiu
|
Tzu-Hsi Yen
|
Joanne Boisson
|
Jian-cheng Wu
|
Jason S. Chang
NAIST at 2013 CoNLL Grammatical Error Correction Shared Task
[W13-3604]:
Ippei Yoshimoto
|
Tomoya Kose
|
Kensuke Mitsuzawa
|
Keisuke Sakaguchi
|
Tomoya Mizumoto
|
Yuta Hayashibe
|
Mamoru Komachi
|
Yuji Matsumoto
UM-Checker: A Hybrid System for English Grammatical Error Correction
[W13-3605]:
Junwen Xing
|
Longyue Wang
|
Derek F. Wong
|
Lidia S. Chao
|
Xiaodong Zeng
A Tree Transducer Model for Grammatical Error Correction
[W13-3606]:
Jan Buys
|
Brink Merwe
Constrained Grammatical Error Correction using Statistical Machine Translation
[W13-3607]:
Zheng Yuan
|
Mariano Felice
LFG-based Features for Noun Number and Article Grammatical Errors
[W13-3608]:
Gabor Berend
|
Veronika Vincze
|
Sina Zarrieß
|
Richárd Farkas
Toward More Precision in Correction of Grammatical Errors
[W13-3609]:
Dan Flickinger
|
Jiye Yu
Grammatical Error Correction as Multiclass Classification with Single Model
[W13-3610]:
Zhongye Jia
|
Peilu Wang
|
Hai Zhao
IITB System for CoNLL 2013 Shared Task: A Hybrid Approach to Grammatical Error Correction
[W13-3611]:
Anoop Kunchukuttan
|
Ritesh Shah
|
Pushpak Bhattacharyya
UdS at CoNLL 2013 Shared Task
[W13-3612]:
Desmond Darma Putra
|
Lili Szabo
Rule-based System for Automatic Grammar Correction Using Syntactic N-grams for English Language Learning (L2)
[W13-3613]:
Grigori Sidorov
|
Anubhav Gupta
|
Martin Tozer
|
Dolors Catala
|
Angels Catena
|
Sandrine Fuentes
Memory-based Grammatical Error Correction
[W13-3614]:
Antal Bosch
|
Peter Berck
A Noisy Channel Model Framework for Grammatical Correction
[W13-3615]:
L. Amber Wilcox-O’Hearn
A Hybrid Model For Grammatical Error Correction
[W13-3616]:
Yang Xiang
|
Bo Yuan
|
Yaoyun Zhang
|
Xiaolong Wang
|
Wen Zheng
|
Chongqiang Wei
KUNLP Grammatical Error Correction System For CoNLL-2013 Shared Task
[W13-3617]:
Bong-Jun Yi
|
Ho-Chang Lee
|
Hae-Chang Rim
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
[D12-1000]:
Jun'ichi Tsujii
|
James Henderson
|
Marius Paşca
Syntactic Transfer Using a Bilingual Lexicon
[D12-1001]:
Greg Durrett
|
Adam Pauls
|
Dan Klein
Regularized Interlingual Projections: Evaluation on Multilingual Transliteration
[D12-1002]:
Jagadeesh Jagarlamudi
|
Hal Daume III
Bilingual Lexicon Extraction from Comparable Corpora Using Label Propagation
[D12-1003]:
Akihiro Tamura
|
Taro Watanabe
|
Eiichiro Sumita
Lexical Differences in Autobiographical Narratives from Schizophrenic Patients and Healthy Controls
[D12-1004]:
Kai Hong
|
Christian G. Kohler
|
Mary E. March
|
Amber A. Parker
|
Ani Nenkova
Streaming Analysis of Discourse Participants
[D12-1005]:
Benjamin Van Durme
Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants
[D12-1006]:
Ahmed Hassan
|
Amjad Abu-Jbara
|
Dragomir Radev
Generative Goal-Driven User Simulation for Dialog Management
[D12-1007]:
Aciel Eshky
|
Ben Allison
|
Mark Steedman
Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems
[D12-1008]:
Nina Dethlefs
|
Helen Hastie
|
Verena Rieser
|
Oliver Lemon
Mixed Membership Markov Models for Unsupervised Conversation Modeling
[D12-1009]:
Michael J. Paul
An Entity-Topic Model for Entity Linking
[D12-1010]:
Xianpei Han
|
Le Sun
Linking Named Entities to Any Database
[D12-1011]:
Avirup Sil
|
Ernest Cronin
|
Penghai Nie
|
Yinfei Yang
|
Ana-Maria Popescu
|
Alexander Yates
Towards Efficient Named-Entity Rule Induction for Customizability
[D12-1012]:
Ajay Nagesh
|
Ganesh Ramakrishnan
|
Laura Chiticariu
|
Rajasekar Krishnamurthy
|
Ankush Dharkar
|
Pushpak Bhattacharyya
Active Learning for Imbalanced Sentiment Classification
[D12-1013]:
Shoushan Li
|
Shengfeng Ju
|
Guodong Zhou
|
Xiaojun Li
A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts
[D12-1014]:
Lizhen Qu
|
Rainer Gemulla
|
Gerhard Weikum
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts
[D12-1015]:
Yanyan Zhao
|
Bing Qin
|
Ting Liu
Aligning Predicates across Monolingual Comparable Texts using Graph-based Clustering
[D12-1016]:
Michael Roth
|
Anette Frank
Local and Global Context for Supervised and Unsupervised Metonymy Resolution
[D12-1017]:
Vivi Nastase
|
Alex Judea
|
Katja Markert
|
Michael Strube
Learning Verb Inference Rules from Linguistically-Motivated Evidence
[D12-1018]:
Hila Weisman
|
Jonathan Berant
|
Idan Szpektor
|
Ido Dagan
Spectral Dependency Parsing with Latent Variables
[D12-1019]:
Paramveer Dhillon
|
Jordan Rodu
|
Michael Collins
|
Dean Foster
|
Lyle Ungar
A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes
[D12-1020]:
Robert Lindsey
|
William Headden
|
Michael Stipicevic
A Bayesian Model for Learning SCFGs with Discontiguous Rules
[D12-1021]:
Abby Levenberg
|
Chris Dyer
|
Phil Blunsom
Multiple Aspect Summarization Using Integer Linear Programming
[D12-1022]:
Kristian Woodsend
|
Mirella Lapata
Minimal Dependency Length in Realization Ranking
[D12-1023]:
Michael White
|
Rajakrishnan Rajkumar
Framework of Automatic Text Summarization Using Reinforcement Learning
[D12-1024]:
Seonggi Ryang
|
Takeshi Abekawa
Large Scale Decipherment for Out-of-Domain Machine Translation
[D12-1025]:
Qing Dou
|
Kevin Knight
N-gram-based Tense Models for Statistical Machine Translation
[D12-1026]:
Zhengxian Gong
|
Min Zhang
|
Chew Lim Tan
|
Guodong Zhou
Source Language Adaptation for Resource-Poor Machine Translation
[D12-1027]:
Pidong Wang
|
Preslav Nakov
|
Hwee Tou Ng
Exploiting Reducibility in Unsupervised Dependency Parsing
[D12-1028]:
David Mareček
|
Zdeněk Žabokrtský
Improving Transition-Based Dependency Parsing with Buffer Transitions
[D12-1029]:
Daniel Fernández-González
|
Carlos Gómez-Rodrìguez
Generalized Higher-Order Dependency Parsing with Cube Pruning
[D12-1030]:
Hao Zhang
|
Ryan McDonald
Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets
[D12-1031]:
Young-Bum Kim
|
Benjamin Snyder
Name Phylogeny: A Generative Model of String Variation
[D12-1032]:
Nicholas Andrews
|
Jason Eisner
|
Mark Dredze
Syntactic Surprisal Affects Spoken Word Duration in Conversational Contexts
[D12-1033]:
Vera Demberg
|
Asad Sayeed
|
Philip Gorinski
|
Nikolaos Engonopoulos
Why Question Answering using Sentiment Analysis and Word Classes
[D12-1034]:
Jong-Hoon Oh
|
Kentaro Torisawa
|
Chikara Hashimoto
|
Takuya Kawada
|
Stijn De Saeger
|
Jun'ichi Kazama
|
Yiou Wang
Natural Language Questions for the Web of Data
[D12-1035]:
Mohamed Yahya
|
Klaus Berberich
|
Shady Elbassuoni
|
Maya Ramanath
|
Volker Tresp
|
Gerhard Weikum
Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews
[D12-1036]:
Jianxing Yu
|
Zheng-Jun Zha
|
Tat-Seng Chua
Locally Training the Log-Linear Model for SMT
[D12-1037]:
Lemao Liu
|
Hailong Cao
|
Taro Watanabe
|
Tiejun Zhao
|
Mo Yu
|
Conghui Zhu
Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation
[D12-1038]:
Wenbin Jiang
|
Fandong Meng
|
Qun Liu
|
Yajuan Lü
Automatically Constructing a Normalisation Dictionary for Microblogs
[D12-1039]:
Bo Han
|
Paul Cook
|
Timothy Baldwin
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
[D12-1040]:
Joohyun Kim
|
Raymond Mooney
Forced Derivation Tree based Model Training to Statistical Machine Translation
[D12-1041]:
Nan Duan
|
Mu Li
|
Ming Zhou
Multi-instance Multi-label Learning for Relation Extraction
[D12-1042]:
Mihai Surdeanu
|
Julie Tibshirani
|
Ramesh Nallapati
|
Christopher D. Manning
An ``AI readability'' Formula for French as a Foreign Language
[D12-1043]:
Thomas François
|
Cédrick Fairon
Dynamic Programming for Higher Order Parsing of Gap-Minding Trees
[D12-1044]:
Emily Pitler
|
Sampath Kannan
|
Mitchell Marcus
Joint Entity and Event Coreference Resolution across Documents
[D12-1045]:
Heeyoung Lee
|
Marta Recasens
|
Angel Chang
|
Mihai Surdeanu
|
Dan Jurafsky
Joint Chinese Word Segmentation, POS Tagging and Parsing
[D12-1046]:
Xian Qian
|
Yang Liu
Translation Model Based Cross-Lingual Language Model Adaptation: from Word Models to Phrase Models
[D12-1047]:
Shixiang Lu
|
Wei Wei
|
Xiaoyin Fu
|
Bo Xu
Open Language Learning for Information Extraction
[D12-1048]:
Mausam
|
Michael Schmitz
|
Stephen Soderland
|
Robert Bart
|
Oren Etzioni
Modelling Sequential Text with an Adaptive Topic Model
[D12-1049]:
Lan Du
|
Wray Buntine
|
Huidong Jin
A Comparison of Vector-based Representations for Semantic Composition
[D12-1050]:
William Blacoe
|
Mirella Lapata
Exploiting Chunk-level Features to Improve Phrase Chunking
[D12-1051]:
Junsheng Zhou
|
Weiguang Qu
|
Fen Zhang
A Beam-Search Decoder for Grammatical Error Correction
[D12-1052]:
Daniel Dahlmeier
|
Hwee Tou Ng
A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories
[D12-1053]:
Mathias Verbeke
|
Vincent Van Asch
|
Roser Morante
|
Paolo Frasconi
|
Walter Daelemans
|
Luc De Raedt
Lyrics, Music, and Emotions
[D12-1054]:
Rada Mihalcea
|
Carlo Strapparava
Assessment of ESL Learners' Syntactic Competence Based on Similarity Measures
[D12-1055]:
Su-Youn Yoon
|
Suma Bhat
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction
[D12-1056]:
Hisami Suzuki
|
Jianfeng Gao
Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web
[D12-1057]:
Chikara Hashimoto
|
Kentaro Torisawa
|
Stijn De Saeger
|
Jong-Hoon Oh
|
Jun'ichi Kazama
Enlarging Paraphrase Collections through Generalization and Instantiation
[D12-1058]:
Atsushi Fujita
|
Pierre Isabelle
|
Roland Kuhn
Concurrent Acquisition of Word Meaning and Lexical Categories
[D12-1059]:
Afra Alishahi
|
Grzegorz Chrupala
Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
[D12-1060]:
Natalia Ponomareva
|
Mike Thelwall
Learning Lexicon Models from Search Logs for Query Expansion
[D12-1061]:
Jianfeng Gao
|
Shasha Xie
|
Xiaodong He
|
Alnur Ali
Joint Inference for Event Timeline Construction
[D12-1062]:
Quang Do
|
Wei Lu
|
Dan Roth
Three Dependency-and-Boundary Models for Grammar Induction
[D12-1063]:
Valentin I. Spitkovsky
|
Hiyan Alshawi
|
Daniel Jurafsky
Exploring Adaptor Grammars for Native Language Identification
[D12-1064]:
Sze-Meng Jojo Wong
|
Mark Dras
|
Mark Johnson
Discovering Diverse and Salient Threads in Document Collections
[D12-1065]:
Jennifer Gillenwater
|
Alex Kulesza
|
Ben Taskar
Generalizing Sub-sentential Paraphrase Acquisition across Original Signal Type of Text Pairs
[D12-1066]:
Aurélien Max
|
Houda Bouamor
|
Anne Vilnat
Parse, Price and Cut–-Delayed Column and Row Generation for Graph Based Parsers
[D12-1067]:
Sebastian Riedel
|
David Smith
|
Andrew McCallum
Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach
[D12-1068]:
Jian Bo Yang
|
Qi Mao
|
Qiao Liang Xiang
|
Ivor Wai-Hung Tsang
|
Kian Ming Adam Chai
|
Hai Leong Chieu
Weakly Supervised Training of Semantic Parsers
[D12-1069]:
Jayant Krishnamurthy
|
Tom Mitchell
Cross-Lingual Language Modeling with Syntactic Reordering for Low-Resource Speech Recognition
[D12-1070]:
Ping Xu
|
Pascale Fung
Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge
[D12-1071]:
Altaf Rahman
|
Vincent Ng
A Sequence Labelling Approach to Quote Attribution
[D12-1072]:
Timothy O'Keefe
|
Silvia Pareti
|
James R. Curran
|
Irena Koprinska
|
Matthew Honnibal
SSHLDA: A Semi-Supervised Hierarchical Topic Model
[D12-1073]:
Xian-Ling Mao
|
Zhao-Yan Ming
|
Tat-Seng Chua
|
Si Li
|
Hongfei Yan
|
Xiaoming Li
Improving NLP through Marginalization of Hidden Syntactic Structure
[D12-1074]:
Jason Naradowsky
|
Sebastian Riedel
|
David Smith
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
[D12-1075]:
Dan Garrette
|
Jason Baldridge
Explore Person Specific Evidence in Web Person Name Disambiguation
[D12-1076]:
Liwei Chen
|
Yansong Feng
|
Lei Zou
|
Dongyan Zhao
Inducing a Discriminative Parser to Optimize Machine Translation Reordering
[D12-1077]:
Graham Neubig
|
Taro Watanabe
|
Shinsuke Mori
Re-training Monolingual Parser Bilingually for Syntactic SMT
[D12-1078]:
Shujie Liu
|
Chi-Ho Li
|
Mu Li
|
Ming Zhou
Transforming Trees to Improve Syntactic Convergence
[D12-1079]:
David Burkett
|
Dan Klein
Learning Constraints for Consistent Timeline Extraction
[D12-1080]:
David McClosky
|
Christopher D. Manning
Identifying Constant and Unique Relations by using Time-Series Text
[D12-1081]:
Yohei Takaku
|
Nobuhiro Kaji
|
Naoki Yoshinaga
|
Masashi Toyoda
No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities
[D12-1082]:
Thomas Lin
|
Mausam
|
Oren Etzioni
A Novel Discriminative Framework for Sentence-Level Discourse Analysis
[D12-1083]:
Shafiq Joty
|
Giuseppe Carenini
|
Raymond Ng
Using Discourse Information for Paraphrase Extraction
[D12-1084]:
Michaela Regneri
|
Rui Wang
Generating Non-Projective Word Order in Statistical Linearization
[D12-1085]:
Bernd Bohnet
|
Anders Björkelund
|
Jonas Kuhn
|
Wolfgang Seeker
|
Sina Zarriess
Learning Syntactic Categories Using Paradigmatic Representations of Word Context
[D12-1086]:
Mehmet Ali Yatbaz
|
Enis Sert
|
Deniz Yuret
Exploring Topic Coherence over Many Models and Many Topics
[D12-1087]:
Keith Stevens
|
Philip Kegelmeyer
|
David Andrzejewski
|
David Buttler
Entropy-based Pruning for Phrase-based Machine Translation
[D12-1088]:
Wang Ling
|
João Graça
|
Isabel Trancoso
|
Alan Black
A Systematic Comparison of Phrase Table Pruning Techniques
[D12-1089]:
Richard Zens
|
Daisy Stanton
|
Peng Xu
Probabilistic Finite State Machines for Regression-based MT Evaluation
[D12-1090]:
Mengqiu Wang
|
Christopher D. Manning
An Empirical Investigation of Statistical Significance in NLP
[D12-1091]:
Taylor Berg-Kirkpatrick
|
David Burkett
|
Dan Klein
Employing Compositional Semantics and Discourse Consistency in Chinese Event Extraction
[D12-1092]:
Peifeng Li
|
Guodong Zhou
|
Qiaoming Zhu
|
Libin Hou
Reading The Web with Learned Syntactic-Semantic Inference Rules
[D12-1093]:
Ni Lao
|
Amarnag Subramanya
|
Fernando Pereira
|
William W. Cohen
Ensemble Semantics for Large-scale Unsupervised Relation Extraction
[D12-1094]:
Bonan Min
|
Shuming Shi
|
Ralph Grishman
|
Chin-Yew Lin
Forest Reranking through Subtree Ranking
[D12-1095]:
Richard Farkas
|
Helmut Schmid
Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output
[D12-1096]:
Jonathan K. Kummerfeld
|
David Hall
|
James R. Curran
|
Dan Klein
Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level
[D12-1097]:
Billy T. M. Wong
|
Chunyu Kit
Fast Large-Scale Approximate Graph Construction for NLP
[D12-1098]:
Amit Goyal
|
Hal Daume III
|
Raul Guerra
Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings
[D12-1099]:
Doo Soon Kim
|
Kunal Verma
|
Peter Yeh
Sketch Algorithms for Estimating Point Queries in NLP
[D12-1100]:
Amit Goyal
|
Hal Daume III
|
Graham Cormode
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
[D12-1101]:
Sameer Singh
|
Michael Wick
|
Andrew McCallum
On Amortizing Inference Cost for Structured Prediction
[D12-1102]:
Vivek Srikumar
|
Gourab Kundu
|
Dan Roth
Exact Sampling and Decoding in High-Order Hidden Markov Models
[D12-1103]:
Simon Carter
|
Marc Dymetman
|
Guillaume Bouchard
PATTY: A Taxonomy of Relational Patterns with Semantic Types
[D12-1104]:
Ndapandula Nakashole
|
Gerhard Weikum
|
Fabian Suchanek
Training Factored PCFGs with Expectation Propagation
[D12-1105]:
David Hall
|
Dan Klein
A Coherence Model Based on Syntactic Patterns
[D12-1106]:
Annie Louis
|
Ani Nenkova
Language Model Rest Costs and Space-Efficient Storage
[D12-1107]:
Kenneth Heafield
|
Philipp Koehn
|
Alon Lavie
Document-Wide Decoding for Phrase-Based Statistical Machine Translation
[D12-1108]:
Christian Hardmeier
|
Joakim Nivre
|
Jörg Tiedemann
Left-to-Right Tree-to-String Decoding with Prediction
[D12-1109]:
Yang Feng
|
Yang Liu
|
Qun Liu
|
Trevor Cohn
Semantic Compositionality through Recursive Matrix-Vector Spaces
[D12-1110]:
Richard Socher
|
Brody Huval
|
Christopher D. Manning
|
Andrew Y. Ng
Polarity Inducing Latent Semantic Analysis
[D12-1111]:
Wen-tau Yih
|
Geoffrey Zweig
|
John Platt
First Order vs. Higher Order Modification in Distributional Semantics
[D12-1112]:
Gemma Boleda
|
Eva Maria Vecchi
|
Miquel Cornudella
|
Louise McNally
Learning-based Multi-Sieve Co-reference Resolution with Knowledge
[D12-1113]:
Lev Ratinov
|
Dan Roth
Joint Learning for Coreference Resolution with Markov Logic
[D12-1114]:
Yang Song
|
Jing Jiang
|
Wayne Xin Zhao
|
Sujian Li
|
Houfeng Wang
Resolving "This-issue" Anaphora
[D12-1115]:
Varada Kolhatkar
|
Graeme Hirst
Entity based Q&A Retrieval
[D12-1116]:
Amit Singh
Constructing Task-Specific Taxonomies for Document Collection Browsing
[D12-1117]:
Hui Yang
Besting the Quiz Master: Crowdsourcing Incremental Classification Games
[D12-1118]:
Jordan Boyd-Graber
|
Brianna Satinoff
|
He He
|
Hal Daume III
Multi-Domain Learning: When Do Domains Matter?
[D12-1119]:
Mahesh Joshi
|
Mark Dredze
|
William W. Cohen
|
Carolyn Rose
Biased Representation Learning for Domain Adaptation
[D12-1120]:
Fei Huang
|
Alexander Yates
Unambiguity Regularization for Unsupervised Learning of Probabilistic Grammars
[D12-1121]:
Kewei Tu
|
Vasant Honavar
Extracting Opinion Expressions with semi-Markov Conditional Random Fields
[D12-1122]:
Bishan Yang
|
Claire Cardie
Opinion Target Extraction Using Word-Based Translation Model
[D12-1123]:
Kang Liu
|
Liheng Xu
|
Jun Zhao
Word Salad: Relating Food Prices and Descriptions
[D12-1124]:
Victor Chahuneau
|
Kevin Gimpel
|
Bryan R. Routledge
|
Lily Scherlis
|
Noah A. Smith
Learning to Map into a Universal POS Tagset
[D12-1125]:
Yuan Zhang
|
Roi Reichart
|
Regina Barzilay
|
Amir Globerson
Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features
[D12-1126]:
Jiayi Zhao
|
Xipeng Qiu
|
Shu Zhang
|
Feng Ji
|
Xuanjing Huang
Wiki-ly Supervised Part-of-Speech Tagging
[D12-1127]:
Shen Li
|
João Graça
|
Ben Taskar
Joining Forces Pays Off: Multilingual Joint Word Sense Disambiguation
[D12-1128]:
Roberto Navigli
|
Simone Paolo Ponzetto
A New Minimally-Supervised Framework for Domain Word Sense Disambiguation
[D12-1129]:
Stefano Faralli
|
Roberto Navigli
Grounded Models of Semantic Representation
[D12-1130]:
Carina Silberer
|
Mirella Lapata
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints
[D12-1131]:
Alexander Rush
|
Roi Reichart
|
Michael Collins
|
Amir Globerson
Unified Dependency Parsing of Chinese Morphological and Syntactic Structures
[D12-1132]:
Zhongguo Li
|
Guodong Zhou
A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing
[D12-1133]:
Bernd Bohnet
|
Joakim Nivre
Identifying Event-related Bursts via Social Media Activities
[D12-1134]:
Xin Zhao
|
Baihan Shu
|
Jing Jiang
|
Yang Song
|
Hongfei Yan
|
Xiaoming Li
User Demographics and Language in an Implicit Social Network
[D12-1135]:
Katja Filippova
Revisiting the Predictability of Language: Response Completion in Social Media
[D12-1136]:
Bo Pang
|
Sujith Ravi
Supervised Text-based Geolocation Using Language Models on an Adaptive Grid
[D12-1137]:
Stephen Roller
|
Michael Speriosu
|
Sarat Rallapalli
|
Benjamin Wing
|
Jason Baldridge
A Discriminative Model for Query Spelling Correction with Latent Structural SVM
[D12-1138]:
Huizhong Duan
|
Yanen Li
|
ChengXiang Zhai
|
Dan Roth
Characterizing Stylistic Elements in Syntactic Structure
[D12-1139]:
Song Feng
|
Ritwik Banerjee
|
Yejin Choi
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
[W12-3700]:
Alexandra Balahur
|
Andres Montoyo
|
Patricio Martinez Barco
|
Ester Boldrini
Multimodal Sentiment Analysis
[W12-3701]:
Rada Mihalcea
Subjectivity Word Sense Disambiguation
[W12-3702]:
Janyce Wiebe
Random Walk Weighting over SentiWordNet for Sentiment Polarity Detection on Twitter
[W12-3703]:
Arturo Montejo-Ráez
|
Eugenio Martìnez-Cámara
|
M. Teresa Martìn-Valdivia
|
L. Alfonso Ureña-López
Mining Sentiments from Tweets
[W12-3704]:
Akshat Bakliwal
|
Piyush Arora
|
Senthil Madhappan
|
Nikhil Kapre
|
Mukesh Singh
|
Vasudeva Varma
SAMAR: A System for Subjectivity and Sentiment Analysis of Arabic Social Media
[W12-3705]:
Muhammad Abdul-Mageed
|
Sandra Kuebler
|
Mona Diab
Opinum: statistical sentiment analysis for opinion classification
[W12-3706]:
Boyan Bonev
|
Gema Ramìrez Sánchez
|
Sergio Ortiz Rojas
Sentimantics: Conceptual Spaces for Lexical Sentiment Polarity Representation with Contextuality
[W12-3707]:
Amitava Das
|
Gambäck Björn
Analysis of Travel Review Data from Reader’s Point of View
[W12-3708]:
Maya Ando
|
Shun Ishizaki
Multilingual Sentiment Analysis using Machine Translation?
[W12-3709]:
Alexandra Balahur
|
Marco Turchi
Unifying Local and Global Agreement and Disagreement Classification in Online Debates
[W12-3710]:
Jie Yin
|
Nalin Narang
|
Paul Thomas
|
Cecile Paris
Prior versus Contextual Emotion of a Word in a Sentence
[W12-3711]:
Diman Ghazi
|
Diana Inkpen
|
Stan Szpakowicz
Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain
[W12-3712]:
Phillip Smith
|
Mark Lee
POLITICAL-ADS: An annotated corpus for modeling event-level evaluativity
[W12-3713]:
Kevin Reschke
|
Pranav Anand
Automatically Annotating A Five-Billion-Word Corpus of Japanese Blogs for Affect and Sentiment Analysis
[W12-3714]:
Michal Ptaszynski
|
Rafal Rzepka
|
Kenji Araki
|
Yoshio Momouchi
How to Evaluate Opinionated Keyphrase Extraction?
[W12-3715]:
Gábor Berend
|
Veronika Vincze
Semantic frames as an anchor representation for sentiment analysis
[W12-3716]:
Josef Ruppenhofer
|
Ines Rehbein
On the Impact of Sentiment and Emotion Based Features in Detecting Online Sexual Predators
[W12-3717]:
Dasha Bogdanova
|
Paolo Rosso
|
Thamar Solorio
Joint Conference on EMNLP and CoNLL - Shared Task
Joint Conference on EMNLP and CoNLL - Shared Task
[W12-4500]:
Sameer Pradhan
|
Alessandro Moschitti
|
Nianwen Xue
CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes
[W12-4501]:
Sameer Pradhan
|
Alessandro Moschitti
|
Nianwen Xue
|
Olga Uryupina
|
Yuchen Zhang
Latent Structure Perceptron with Feature Induction for Unrestricted Coreference Resolution
[W12-4502]:
Eraldo Fernandes
|
Cìcero dos Santos
|
Ruy Milidiú
Data-driven Multilingual Coreference Resolution using Resolver Stacking
[W12-4503]:
Anders Björkelund
|
Richárd Farkas
Combining the Best of Two Worlds: A Hybrid Approach to Multilingual Coreference Resolution
[W12-4504]:
Chen Chen
|
Vincent Ng
Using Syntactic Dependencies to Solve Coreferences
[W12-4505]:
Marcus Stamborg
|
Dennis Medved
|
Peter Exner
|
Pierre Nugues
ICT: System Description for CoNLL-2012
[W12-4506]:
Hao Xiong
|
Qun Liu
A Mixed Deterministic Model for Coreference Resolution
[W12-4507]:
Bo Yuan
|
Qingcai Chen
|
Yang Xiang
|
Xiaolong Wang
|
Liping Ge
|
Zengjian Liu
|
Meng Liao
|
Xianbo Si
Simple Maximum Entropy Models for Multilingual Coreference Resolution
[W12-4508]:
Xinxin Li
|
Xuan Wang
|
Xingwei Liao
UBIU for Multilingual Coreference Resolution in OntoNotes
[W12-4509]:
Desislava Zhekova
|
Sandra Kübler
|
Joshua Bonner
|
Marwa Ragheb
|
Yu-Yin Hsu
Chinese Coreference Resolution via Ordered Filtering
[W12-4510]:
Xiaotian Zhang
|
Chunyang Wu
|
Hai Zhao
A Multigraph Model for Coreference Resolution
[W12-4511]:
Sebastian Martschat
|
Jie Cai
|
Samuel Broscheit
|
Éva Mújdricza-Maydt
|
Michael Strube
Incorporating Rule-based and Statistic-based Techniques for Coreference Resolution
[W12-4512]:
Ruifeng Xu
|
Jun Xu
|
Jie Liu
|
Chengxiang Liu
|
Chengtian Zou
|
Lin Gui
|
Yanzhen Zheng
|
Peng Qu
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task
[W12-4513]:
Kai-Wei Chang
|
Rajhans Samdani
|
Alla Rozovskaya
|
Mark Sammons
|
Dan Roth
System paper for CoNLL-2012 shared task: Hybrid Rule-based Algorithm for Coreference Resolution.
[W12-4514]:
Heming Shou
|
Hai Zhao
BART goes multilingual: The UniTN / Essex submission to the CoNLL-2012 Shared Task
[W12-4515]:
Olga Uryupina
|
Alessandro Moschitti
|
Massimo Poesio
Learning to Model Multilingual Unrestricted Coreference in OntoNotes
[W12-4516]:
Baoli Li
Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Proceedings of the Fifteenth Conference on Computational Natural Language Learning
[W11-0300]:
Sharon Goldwater
|
Christopher Manning
Modeling Syntactic Context Improves Morphological Segmentation
[W11-0301]:
Yoong Keok Lee
|
Aria Haghighi
|
Regina Barzilay
The Effect of Automatic Tokenization, Vocalization, Stemming, and {POS} Tagging on {A}rabic Dependency Parsing
[W11-0302]:
Emad Mohamed
Punctuation: Making a Point in Unsupervised Dependency Parsing
[W11-0303]:
Valentin I. Spitkovsky
|
Hiyan Alshawi
|
Daniel Jurafsky
Modeling Infant Word Segmentation
[W11-0304]:
Constantine Lignos
Word Segmentation as General Chunking
[W11-0305]:
Daniel Hewlett
|
Paul Cohen
(Invited talk) Computational Linguistics for Studying Language in People: Principles, Applications and Research Problems
[W11-0306]:
Bruce Hayes
Search-based Structured Prediction applied to Biomedical Event Extraction
[W11-0307]:
Andreas Vlachos
|
Mark Craven
Using Sequence Kernels to identify Opinion Entities in Urdu
[W11-0308]:
Smruthi Mukund
|
Debanjan Ghosh
|
Rohini Srihari
Subword and Spatiotemporal Models for Identifying Actionable Information in {H}aitian {K}reyol
[W11-0309]:
Robert Munro
Gender Attribution: Tracing Stylometric Evidence Beyond Topic and Genre
[W11-0310]:
Ruchita Sarawgi
|
Kailash Gajulapalli
|
Yejin Choi
Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis
[W11-0311]:
Cem Akkaya
|
Janyce Wiebe
|
Alexander Conrad
|
Rada Mihalcea
Effects of Meaning-Preserving Corrections on Language Learning
[W11-0312]:
Dana Angluin
|
Leonor Becerra-Bonache
Assessing Benefit from Feature Feedback in Active Learning for Text Classification
[W11-0313]:
Shilpa Arora
|
Eric Nyberg
ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
[W11-0314]:
Felice Dell'Orletta
|
Giulia Venturi
|
Simonetta Montemagni
Language Models as Representations for Weakly Supervised NLP Tasks
[W11-0315]:
Fei Huang
|
Alexander Yates
|
Arun Ahuja
|
Doug Downey
Automatic Keyphrase Extraction by Bridging Vocabulary Gap
[W11-0316]:
Zhiyuan Liu
|
Xinxiong Chen
|
Yabin Zheng
|
Maosong Sun
Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation
[W11-0317]:
Bridget T. McInnes
|
Ted Pedersen
|
Ying Liu
|
Serguei V. Pakhomov
|
Genevieve B. Melton
Using the Mutual k-Nearest Neighbor Graphs for Semi-supervised Classification on Natural Language Data
[W11-0318]:
Kohei Ozaki
|
Masashi Shimbo
|
Mamoru Komachi
|
Yuji Matsumoto
Automatically Building Training Examples for Entity Extraction
[W11-0319]:
Marco Pennacchiotti
|
Patrick Pantel
Probabilistic Word Alignment under the $L_0$-norm
[W11-0320]:
Thomas Schoenemann
Authorship Attribution with Latent Dirichlet Allocation
[W11-0321]:
Yanir Seroussi
|
Ingrid Zukerman
|
Fabian Bohnert
Evaluating a Semantic Network Automatically Constructed from Lexical Co-occurrence on a Word Sense Disambiguation Task
[W11-0322]:
Sean Szumlanski
|
Fernando Gomez
Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains
[W11-0323]:
Ning Yu
|
Sandra Kübler
A Normalized-Cut Alignment Model for Mapping Hierarchical Semantic Structures onto Spoken Documents
[W11-0324]:
Xiaodan Zhu
(Invited talk) Bayesian Tools for Natural Language Learning
[W11-0325]:
Yee Whye Teh
Composing Simple Image Descriptions using Web-scale N-grams
[W11-0326]:
Siming Li
|
Girish Kulkarni
|
Tamara L. Berg
|
Alexander C. Berg
|
Yejin Choi
Adapting Text instead of the Model: An Open Domain Approach
[W11-0327]:
Gourab Kundu
|
Dan Roth
Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
[W11-0328]:
Yoshimasa Tsuruoka
|
Yusuke Miyao
|
Jun'ichi Kazama
Learning Discriminative Projections for Text Similarity Measures
[W11-0329]:
Wen-tau Yih
|
Kristina Toutanova
|
John C. Platt
|
Christopher Meek
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
[W11-1900]:
BBN Technologies Sameer Pradhan
CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes
[W11-1901]:
Sameer Pradhan
|
Lance Ramshaw
|
Mitchell Marcus
|
Martha Palmer
|
Ralph Weischedel
|
Nianwen Xue
Stanford’s Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task
[W11-1902]:
Heeyoung Lee
|
Yves Peirsman
|
Angel Chang
|
Nathanael Chambers
|
Mihai Surdeanu
|
Dan Jurafsky
RelaxCor Participation in CoNLL Shared Task on Coreference Resolution
[W11-1903]:
Emili Sapena
|
Lluìs Padró
|
Jordi Turmo
Inference Protocols for Coreference Resolution
[W11-1904]:
Kai-Wei Chang
|
Rajhans Samdani
|
Alla Rozovskaya
|
Nick Rizzolo
|
Mark Sammons
|
Dan Roth
Exploring Lexicalized Features for Coreference Resolution
[W11-1905]:
Anders Björkelund
|
Pierre Nugues
Rule and Tree Ensembles for Unrestricted Coreference Resolution
[W11-1906]:
Cicero Nogueira dos Santos
|
Davi Lopes Carvalho
Unrestricted Coreference Resolution via Global Hypergraph Partitioning
[W11-1907]:
Jie Cai
|
Eva Mujdricza-Maydt
|
Michael Strube
Multi-metric optimization for coreference: The UniTN / IITP / Essex submission to the 2011 CONLL Shared Task
[W11-1908]:
Olga Uryupina
|
Sriparna Saha
|
Asif Ekbal
|
Massimo Poesio
Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution
[W11-1909]:
Huiwei Zhou
|
Yao Li
|
Degen Huang
|
Yan Zhang
|
Chunlong Wu
|
Yuansheng Yang
Supervised Coreference Resolution with SUCRE
[W11-1910]:
Hamidreza Kobdani
|
Hinrich Schuetze
ETS: An Error Tolerable System for Coreference Resolution
[W11-1911]:
Hao Xiong
|
Linfeng Song
|
Fandong Meng
|
Yang Liu
|
Qun Liu
|
Yajuan Lv
An Incremental Model for Coreference Resolution with Restrictive Antecedent Accessibility
[W11-1912]:
Manfred Klenner
|
Don Tuggener
Narrative Schema as World Knowledge for Coreference Resolution
[W11-1913]:
Joseph Irwin
|
Mamoru Komachi
|
Yuji Matsumoto
Hybrid Approach for Coreference Resolution
[W11-1914]:
Sobha Lalitha Devi
|
Pattabhi Rao
|
Vijay Sundar Ram R
|
M. C S
|
A. A
Poly-co: a multilayer perceptron approach for coreference detection
[W11-1915]:
Eric Charton
|
Michel Gagnon
Mention Detection: Heuristics for the OntoNotes annotations
[W11-1916]:
Jonathan K Kummerfeld
|
Mohit Bansal
|
David Burkett
|
Dan Klein
Coreference Resolution with Loose Transitivity Constraints
[W11-1917]:
Xinxin Li
|
Xuan Wang
|
Shuhan Qi
UBIU: A Robust System for Resolving Unrestricted Coreference
[W11-1918]:
Desislava Zhekova
|
Sandra Kübler
A Machine Learning-Based Coreference Detection System for OntoNotes
[W11-1919]:
Yaqin Yang
|
Nianwen Xue
|
Peter Anick
Reconciling OntoNotes: Unrestricted Coreference Resolution in OntoNotes with Reconcile.
[W11-1920]:
Veselin Stoyanov
|
Uday Babbar
|
Pracheer Gupta
|
Claire Cardie
Coreference Resolution System using Maximum Entropy Classifier
[W11-1921]:
Weipeng Chen
|
Muyu Zhang
|
Bing Qin
Link Type Based Pre-Cluster Pair Model for Coreference Resolution
[W11-1922]:
Yang Song
|
Houfeng Wang
|
Jing Jiang
Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Proceedings of the Fourteenth Conference on Computational Natural Language Learning
[W10-2900]:
Mirella Lapata
|
Anoop Sarkar
Improvements in Unsupervised Co-Occurrence Based Parsing
[W10-2901]:
Christian Hänig
Viterbi Training Improves Unsupervised Dependency Parsing
[W10-2902]:
Valentin I. Spitkovsky
|
Hiyan Alshawi
|
Daniel Jurafsky
|
Christopher D. Manning
Driving Semantic Parsing from the World’s Response
[W10-2903]:
James Clarke
|
Dan Goldwasser
|
Ming-Wei Chang
|
Dan Roth
Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages
[W10-2904]:
Alexander Clark
Identifying Patterns for Unsupervised Grammar Induction
[W10-2905]:
Jesús Santamaría
|
Lourdes Araujo
Learning Better Monolingual Models with Unannotated Bilingual Text
[W10-2906]:
David Burkett
|
Slav Petrov
|
John Blitzer
|
Dan Klein
(Invited Talk) Clueless: Explorations in Unsupervised, Knowledge-Lean Extraction of Lexical-Semantic Information
[W10-2907]:
Lillian Lee
(Invited Talk) Bayesian Hidden Markov Models and Extensions
[W10-2908]:
Zoubin Ghahramani
Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint
[W10-2909]:
Roi Reichart
|
Raanan Fattal
|
Ari Rappoport
Syntactic and Semantic Structure for Opinion Expression Detection
[W10-2910]:
Richard Johansson
|
Alessandro Moschitti
Type Level Clustering Evaluation: New Measures and a POS Induction Case Study
[W10-2911]:
Roi Reichart
|
Omri Abend
|
Ari Rappoport
Recession Segmentation: Simpler Online Word Segmentation Using Limited Resources
[W10-2912]:
Constantine Lignos
|
Charles Yang
Computing Optimal Alignments for the IBM-3 Translation Model
[W10-2913]:
Thomas Schoenemann
Semi-Supervised Recognition of Sarcasm in Twitter and Amazon
[W10-2914]:
Dmitry Davidov
|
Oren Tsur
|
Ari Rappoport
Learning Probabilistic Synchronous CFGs for Phrase-Based Translation
[W10-2915]:
Markos Mylonakis
|
Khalil Sima’an
A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation
[W10-2916]:
Sankaranarayanan Ananthakrishnan
|
Rohit Prasad
|
David Stallard
|
Prem Natarajan
Improving Word Alignment by Semi-Supervised Ensemble
[W10-2917]:
Shujian Huang
|
Kangxi Li
|
Xinyu Dai
|
Jiajun Chen
A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection
[W10-2918]:
Chenghua Lin
|
Yulan He
|
Richard Everson
A Hybrid Approach to Emotional Sentence Polarity and Intensity Classification
[W10-2919]:
Jorge Carrillo de Albornoz
|
Laura Plaza
|
Pablo Gervás
Cross-Caption Coreference Resolution for Automatic Image Understanding
[W10-2920]:
Micah Hodosh
|
Peter Young
|
Cyrus Rashtchian
|
Julia Hockenmaier
Improved Natural Language Learning via Variance-Regularization Support Vector Machines
[W10-2921]:
Shane Bergsma
|
Dekang Lin
|
Dale Schuurmans
Online Entropy-Based Model of Lexical Category Acquisition
[W10-2922]:
Grzegorz Chrupała
|
Afra Alishahi
Tagging and Linking Web Forum Posts
[W10-2923]:
Su Nam Kim
|
Li Wang
|
Timothy Baldwin
Joint Entity and Relation Extraction Using Card-Pyramid Parsing
[W10-2924]:
Rohit J. Kate
|
Raymond Mooney
Distributed Asynchronous Online Learning for Natural Language Processing
[W10-2925]:
Kevin Gimpel
|
Dipanjan Das
|
Noah A. Smith
On Reverse Feature Engineering of Syntactic Tree Kernels
[W10-2926]:
Daniele Pighin
|
Alessandro Moschitti
Inspecting the Structural Biases of Dependency Parsing Algorithms
[W10-2927]:
Yoav Goldberg
|
Michael Elhadad
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
Proceedings of the Fourteenth Conference on Computational Natural Language Learning – Shared Task
[W10-3000]:
Richárd Farkas
|
Veronika Vincze
|
György Szarvas
|
György Móra
|
János Csirik
The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text
[W10-3001]:
Richárd Farkas
|
Veronika Vincze
|
György Móra
|
János Csirik
|
György Szarvas
A Cascade Method for Detecting Hedges and their Scope in Natural Language Text
[W10-3002]:
Buzhou Tang
|
Xiaolong Wang
|
Xuan Wang
|
Bo Yuan
|
Shixi Fan
Detecting Speculative Language Using Syntactic Dependencies and Logistic Regression
[W10-3003]:
Andreas Vlachos
|
Mark Craven
A Hedgehop over a Max-Margin Framework Using Hedge Cues
[W10-3004]:
Maria Georgescul
Detecting Hedge Cues and their Scopes with Average Perceptron
[W10-3005]:
Feng Ji
|
Xipeng Qiu
|
Xuanjing Huang
Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
[W10-3006]:
Roser Morante
|
Vincent Van Asch
|
Walter Daelemans
Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
[W10-3007]:
Erik Velldal
|
Lilja Øvrelid
|
Stephan Oepen
Combining Manual Rules and Supervised Learning for Hedge Cue and Scope Detection
[W10-3008]:
Marek Rei
|
Ted Briscoe
Hedge Detection Using the RelHunter Approach
[W10-3009]:
Eraldo Fernandes
|
Carlos Crestana
|
Ruy Milidiú
A High-Precision Approach to Detecting Hedges and their Scopes
[W10-3010]:
Halil Kilicoglu
|
Sabine Bergler
Exploiting Rich Features for Detecting Hedges and their Scope
[W10-3011]:
Xinxin Li
|
Jianping Shen
|
Xiang Gao
|
Xuan Wang
Uncertainty Detection as Approximate Max-Margin Sequence Labelling
[W10-3012]:
Oscar Täckström
|
Sumithra Velupillai
|
Martin Hassel
|
Gunnar Eriksson
|
Hercules Dalianis
|
Jussi Karlgren
Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection
[W10-3013]:
Shaodian Zhang
|
Hai Zhao
|
Guodong Zhou
|
Bao-Liang Lu
Learning to Detect Hedges and their Scope Using CRF
[W10-3014]:
Qi Zhao
|
Chengjie Sun
|
Bingquan Liu
|
Yong Cheng
Exploiting Multi-Features to Detect Hedges and their Scope in Biomedical Texts
[W10-3015]:
Huiwei Zhou
|
Xiaoyan Li
|
Degen Huang
|
Zezhong Li
|
Yuansheng Yang
A Lucene and Maximum Entropy Model Based Hedge Detection System
[W10-3016]:
Lin Chen
|
Barbara Di Eugenio
HedgeHunter: A System for Hedge Detection and Uncertainty Classification
[W10-3017]:
David Clausen
Exploiting CCG Structures with Tree Kernels for Speculation Detection
[W10-3018]:
Liliana Mamani Sánchez
|
Baoli Li
|
Carl Vogel
Uncertainty Learning Using SVMs and CRFs
[W10-3019]:
Vinodkumar Prabhakaran
Features for Detecting Hedge Cues
[W10-3020]:
Nobuyuki Shimizu
|
Hiroshi Nakagawa
A Simple Ensemble Method for Hedge Identification
[W10-3021]:
Ferenc Szidarovszky
|
Illés Solt
|
Domonkos Tikk
A Baseline Approach for Detecting Sentences Containing Uncertainty
[W10-3022]:
Erik Tjong Kim Sang
Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier
[W10-3023]:
Yi Zheng
|
Qifeng Dai
|
Qiming Luo
|
Enhong Chen
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
[W10-3100]:
Roser Morante
|
Caroline Sporleder
Zones of conceptualisation in scientific papers: a window to negative and speculative statements
[W10-3101]:
Maria Liakata
Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus
[W10-3102]:
Hercules Dalianis
|
Maria Skeppstedt
Towards a better understanding of uncertainties and speculations in Swedish clinical text – Analysis of an initial annotation trial
[W10-3103]:
Sumithra Velupillai
Does negation really matter?
[W10-3104]:
Ira Goldstein
|
Özlem Uzuner
Speculation and negation annotation in natural language texts: what the case of BioScope might (not) reveal
[W10-3105]:
Veronika Vincze
Automatic annotation of speculation in biomedical texts: new perspectives and large-scale evaluation
[W10-3106]:
Julien Desclés
|
Olfa Makkaoui
|
Taouise Hacène
Levels of certainty in knowledge-intensive corpora: an initial annotation study
[W10-3107]:
Aron Henriksson
|
Sumithra Velupillai
Importance of negations and experimental qualifiers in biomedical literature
[W10-3108]:
Martin Krallinger
Negation and modality in distributional semantics
[W10-3109]:
Ed Hovy
What’s great and what’s not: learning to classify the scope of negation for improved sentiment analysis
[W10-3110]:
Isaac Councill
|
Ryan McDonald
|
Leonid Velikovich
A survey on the role of negation in sentiment analysis
[W10-3111]:
Michael Wiegand
|
Alexandra Balahur
|
Benjamin Roth
|
Dietrich Klakow
|
Andrés Montoyo
Evaluating a meta-knowledge annotation scheme for bio-events
[W10-3112]:
Raheel Nawaz
|
Paul Thompson
|
Sophia Ananiadou
Using SVMs with the Command Relation features to identify negated events in biomedical literature
[W10-3113]:
Farzaneh Sarafraz
|
Goran Nenadic
Contradiction-focused qualitative evaluation of textual entailment
[W10-3114]:
Bernardo Magnini
|
Elena Cabrio
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
[W09-1100]:
Suzanne Stevenson
|
Xavier Carreras
Joint Inference for Natural Language Processing
[W09-1101]:
Andrew McCallum
Modeling Word Learning As Communicative Inference
[W09-1102]:
Michael C. Frank
Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures
[W09-1103]:
Roi Reichart
|
Ari Rappoport
Data-Driven Dependency Parsing of New Languages Using Incomplete and Noisy Training Data
[W09-1104]:
Kathrin Spreyer
|
Jonas Kuhn
A Metalearning Approach to Processing the Scope of Negation
[W09-1105]:
Roser Morante
|
Walter Daelemans
Efficient Linearization of Tree Kernel Functions
[W09-1106]:
Daniele Pighin
|
Alessandro Moschitti
A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping
[W09-1107]:
Michael Bloodgood
|
K. Vijay-Shanker
Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser
[W09-1108]:
Dmitry Davidov
|
Roi Reichart
|
Ari Rappoport
Representing words as regions in vector space
[W09-1109]:
Katrin Erk
Interactive Feature Space Construction using Semantic Information
[W09-1110]:
Dan Roth
|
Kevin Small
Mining the Web for Reciprocal Relationships
[W09-1111]:
Michael Paul
|
Roxana Girju
|
Chen Li
Minimally Supervised Model of Early Language Acquisition
[W09-1112]:
Michael Connor
|
Yael Gertner
|
Cynthia Fisher
|
Dan Roth
Learning Where to Look: Modeling Eye Movements in Reading
[W09-1113]:
Mattias Nilsson
|
Joakim Nivre
Monte Carlo inference and maximization for phrase-based translation
[W09-1114]:
Abhishek Arun
|
Chris Dyer
|
Barry Haddow
|
Phil Blunsom
|
Adam Lopez
|
Philipp Koehn
Investigating Automatic Alignment Methods for Slide Generation from Academic Papers
[W09-1115]:
Brandon Beamer
|
Roxana Girju
Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender
[W09-1116]:
Shane Bergsma
|
Dekang Lin
|
Randy Goebel
Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences
[W09-1117]:
Nikesh Garera
|
Chris Callison-Burch
|
David Yarowsky
An Intrinsic Stopping Criterion for Committee-Based Active Learning
[W09-1118]:
Fredrik Olsson
|
Katrin Tomanek
Design Challenges and Misconceptions in Named Entity Recognition
[W09-1119]:
Lev Ratinov
|
Dan Roth
Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
[W09-1120]:
Roi Reichart
|
Ari Rappoport
The NVI Clustering Evaluation Measure
[W09-1121]:
Roi Reichart
|
Ari Rappoport
Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?
[W09-1122]:
Erik Tjong Kim Sang
|
Katja Hofmann
Improving Text Classification by a Sense Spectrum Approach to Term Expansion
[W09-1123]:
Peter Wittek
|
Sandor Daranyi
|
Chew Lim Tan
A simple feature-copying approach for long-distance dependencies
[W09-1124]:
Marc Vilain
|
Jonathan Huggins
|
Ben Wellner
Fine-Grained Classification of Named Entities Exploiting Latent Semantic Kernels
[W09-1125]:
Claudio Giuliano
Using Encyclopedic Knowledge for Automatic Topic Identification
[W09-1126]:
Kino Coursey
|
Rada Mihalcea
|
William Moen
New Features for FrameNet - WordNet Mapping
[W09-1127]:
Sara Tonelli
|
Daniele Pighin
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task
[W09-1200]:
Jan Hajič
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
[W09-1201]:
Jan Hajič
|
Massimiliano Ciaramita
|
Richard Johansson
|
Daisuke Kawahara
|
Maria Antònia Martí
|
Lluís Màrquez
|
Adam Meyers
|
Joakim Nivre
|
Sebastian Padó
|
Jan Štepánek
|
Pavel Straňák
|
Mihai Surdeanu
|
Nianwen Xue
|
Yi Zhang
An Iterative Approach for Joint Dependency Parsing and Semantic Role Labeling
[W09-1202]:
Qifeng Dai
|
Enhong Chen
|
Liu Shi
Joint Memory-Based Learning of Syntactic and Semantic Dependencies in Multiple Languages
[W09-1203]:
Roser Morante
|
Vincent Van Asch
|
Antal Bosch
Hybrid Multilingual Parsing with HPSG for SRL
[W09-1204]:
Yi Zhang
|
Rui Wang
|
Stephan Oepen
A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
[W09-1205]:
Andrea Gesmundo
|
James Henderson
|
Paola Merlo
|
Ivan Titov
Multilingual Semantic Role Labeling
[W09-1206]:
Anders Björkelund
|
Love Hafdell
|
Pierre Nugues
Multilingual Dependency-based Syntactic and Semantic Parsing
[W09-1207]:
Wanxiang Che
|
Zhenghua Li
|
Yongqiang Li
|
Yuhang Guo
|
Bing Qin
|
Ting Liu
Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
[W09-1208]:
Hai Zhao
|
Wenliang Chen
|
Chunyu Kity
|
Guodong Zhou
Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
[W09-1209]:
Hai Zhao
|
Wenliang Chen
|
Jun’ichi Kazama
|
Kiyotaka Uchimoto
|
Kentaro Torisawa
Efficient Parsing of Syntactic and Semantic Dependency Structures
[W09-1210]:
Bernd Bohnet
Exploring Multilingual Semantic Role Labeling
[W09-1211]:
Baoli Li
|
Martin Emms
|
Saturnino Luz
|
Carl Vogel
A Second-Order Joint Eisner Model for Syntactic and Semantic Dependency Parsing
[W09-1212]:
Xavier Lluís
|
Stefan Bott
|
Lluís Màrquez
Multilingual Semantic Role Labelling with Markov Logic
[W09-1213]:
Ivan Meza-Ruiz
|
Sebastian Riedel
The Crotal SRL System : a Generic Tool Based on Tree-structured CRF
[W09-1214]:
Erwan Moreau
|
Isabelle Tellier
Parsing Syntactic and Semantic Dependencies for Multiple Languages with A Pipeline Approach
[W09-1215]:
Han Ren
|
Donghong Ji
|
Jing Wan
|
Mingyao Zhang
Multilingual Semantic Parsing with a Pipeline of Linear Classifiers
[W09-1216]:
Oscar Täckström
A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models
[W09-1217]:
Buzhou Tang
|
Lu Li
|
Xinxin Li
|
Xuan Wang
|
Xiaolong Wang
Multilingual Syntactic-Semantic Dependency Parsing with Three-Stage Approximate Max-Margin Linear Models
[W09-1218]:
Yotaro Watanabe
|
Masayuki Asahara
|
Yuji Matsumoto
A Simple Generative Pipeline Approach to Dependency Parsing and Semantic Role Labeling
[W09-1219]:
Daniel Zeman
Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
[W09-1900]:
Eric Ringger
|
Robbie Haertel
|
Katrin Tomanek
Active Learning for Anaphora Resolution
[W09-1901]:
Caroline Gasperin
On Proper Unit Selection in Active Learning: Co-Selection Effects for Named Entity Recognition
[W09-1902]:
Katrin Tomanek
|
Florian Laws
|
Udo Hahn
|
Hinrich Schütze
Estimating Annotation Cost for Active Learning in a Multi-Annotator Environment
[W09-1903]:
Shilpa Arora
|
Eric Nyberg
|
Carolyn P. Rosé