Help us Create a Better ACL 2014 Schedule for You
Dear ACL 2014 attendee,

Our goal this year is improve the ACL 2014 schedule and:
(a) avoid conflicts where two papers that many people want to attend are scheduled opposite each other, and
(b) better fit likely attendance to room capacity, and avoid room overflow at popular talks

Please help us improve your experience at ACL 2014 by filling out this survey.

Below is only a list of only the oral presentations in the main conference, and do not include the 2 large poster sessions, demos or workshops.
If you click "I want to attend all papers on the topic", you don't also need to click YES on the individual papers below it.
COGNITIVE MODELING AND PSYCHOLINGUISTICS
Yes
No
Maybe
Bootstrapping into Filler-Gap: An Acquisition Story, Marten van Schijndel and Micha Elsner
Nonparametric Learning of Phonological Constraints in Optimality Theory, Gabriel Doyle, Klinton Bicknell and Roger Levy
Weak semantic context helps phonetic learning in a model of infant language acquisition, Stella Frank, Naomi H. Feldman and Sharon Goldwater
Concreteness and Subjectivity as Dimensions of Lexical Meaning, Felix Hill and Anna Korhonen
Does the Phonology of L1 Show Up in L2 Texts?, Garrett Nicolai and Greg Kondrak
Clear selection
DISCOURSE, DIALOGUE, COREFERENCE AND PRAGMATICS
Yes
No
Maybe
Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features, Anders Björkelund and Jonas Kuhn
Representation Learning for Text-level Discourse Parsing, Yangfeng Ji and Jacob Eisenstein
Discovering Latent Structure in Task-Oriented Dialogues, Ke Zhai and Jason Williams
Prompt Adherence Scoring in English Learners' Essays, Isaac Persing and Vincent Ng
Text-level Discourse Dependency Parsing, Sujian Li, Liang Wang, Ziqiang Cao and Wenjie Li
Predicting Power Relations between Participants in Written Dialog from a Single Thread, Vinodkumar Prabhakaran and Owen Rambow
Clear selection
GENERATION
Yes
No
Maybe
Hybrid Simplification using Deep Semantics and Machine Translation, Shashi Narayan and Claire Gardent
Surface Realisation from Knowledge-Bases, Bikash Gyawali and Claire Gardent
That's Not What I Meant! Using Parsers to Avoid Structural Ambiguities in Generated Text, Manjuan Duan and Michael White
Linguistic Considerations in Automatic Question Generation, Karen Mazidi and Rodney Nielsen
Clear selection
INFORMATION EXTRACTION AND TEXT MINING
Yes
No
Maybe
Collective Tweet Wikification based on Semi-supervised Graph Regularization, Hongzhao Huang, Yunbo Cao, Xiaojiang Huang, Heng Ji and Chin-Yew Lin
Cross-narrative Temporal Ordering of Medical Events, Preethi Raghavan, Eric Fosler-Lussier, Noémie Elhadad and Albert M. Lai
Distant Supervision for Relation Extraction with Matrix Completion, Miao Fan, Deli Zhao, Qiang Zhou, Zhiyuan Liu, Thomas Fang Zheng and Edward Y. Chang
Encoding Relation Requirements for Relation Extraction via Joint Inference, Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin and Dongyan Zhao
Incremental Joint Extraction of Entity Mentions and Relations, Qi Li and Heng Ji
Language-Aware Truth Assessment of Fact Candidates, Ndapandula Nakashole and Tom M. Mitchell
Medical Relation Extraction with Manifold Models, Chang Wang and James Fan
Robust Domain Adaptation for Relation Extraction via Clustering Consistency, Minh Luan Nguyen, Ivor W. Tsang, Kian Ming A. Chai and Hai Leong Chieu
Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features, Chikara Hashimoto, Kentaro Torisawa, Julien Kloetzer, Motoki Sano, István Varga, Jong-Hoon Oh and Yutaka Kidawara
Zero-shot Entity Extraction from Web Pages, Panupong Pasupat and Percy Liang
A Simple Bayesian Modelling Approach to Event Extraction from Twitter, Deyu Zhou, Liangyu Chen and Yulan HE
Applying Grammar Induction to Text Mining, Andrew Salway and Samia Touileb
Bilingual Event Extraction: a Case Study on Trigger Type Determination, Zhu Zhu, Shoushan LI and Guodong Zhou
Infusion of Labeled Data into Distant Supervision for Relation Extraction, Maria Pershina, Bonan Min, Wei Xu and Ralph Grishman
Semantic Consistency: A Local Subspace Based Method for Distant Supervised Relation Extraction, Xianpei Han and Le Sun
Clear selection
LANGUAGE RESOURCES AND EVALUTATION
Yes
No
Maybe
A chance-corrected measure of inter-annotator agreement for syntax, Arne Skjærholt
A Robust Approach to Aligning Heterogeneous Lexical Resources, Mohammad Taher Pilehvar and Roberto Navigli
Predicting the relevance of distributional semantic similarity with contextual information, Philippe Muller, Cécile Fabre and Clémentine Adam
Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project, Tiziano Flati, Daniele Vannella, Tommaso Pasini and Roberto Navigli
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication, Chenhao Tan and Lillian Lee
Difficult Cases: From Data to Learning, and Back, Beata Beigman Klebanov and Eyal Beigman
[TACL] The Language Demographics of Amazon Mechanical Turk, Ellie Pavlick, Matt Post, Ann Irvine, Dmitry Kachaev, Chris Callison-Burch
[TACL] Temporal Annotation in the Clinical Domain, William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C de Groen, Brad Erickson, Guergana Savova, Tim Miller, Chen Lin, James Pustejovsky
[TACL] Segmentation for Efficient Supervised Language Annotation with an Explicit Cost-Utility Tradeoff, Matthias Sperber, Mirjam Simantzik, Graham Neubig, Satoshi Nakamura, and Alex Waibel
Clear selection
LEXICAL SEMANTICS
Yes
No
Maybe
Dependency-Based Word Embeddings, Omer Levy and Yoav Goldberg
Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More, Douwe Kiela, Felix Hill, Anna Korhonen and Stephen Clark
Improving sparse word similarity models with asymmetric similarity measures, Jean Gawron
Vector spaces for historical linguistics: Using distributional semantics to study syntactic productivity in diachrony, Florent Perek
A Step-wise Usage-based Method for Inducing Polysemy-aware Verb Classes, Daisuke Kawahara, Daniel W. Peterson and Martha Palmer
Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors, Marco Baroni, Georgiana Dinu and Germán Kruszewski
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models, Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella and Timothy Baldwin
Structured Learning for Taxonomy Induction with Belief Propagation, Mohit Bansal, David Burkett, Gerard de Melo and Dan Klein
That’s sick dude!: Automatic identification of word sense change across different timescales, Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee and Pawan Goyal
Measuring metaphoricity, Jonathan Dunn
Distributed Representations of Situated Language, David Bamman, Chris Dyer and Noah A. Smith
The VerbCorner Project: Findings from Phase 1 of crowd-sourcing a semantic decomposition of verbs, Joshua K. Hartshorne, Claire Bonial and Martha S. Palmer
[TACL] Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence, Md Arafat Sultan, Steven Bethard, Tamara Sumner
Clear selection
MACHINE LEARNING FOR LANGUAGE PROCESSING
Yes
No
Maybe
Perplexity on Reduced Corpora, Hayato Kobayashi
A Provably Correct Learning Algorithm for Latent-Variable PCFGs, Shay B. Cohen and Michael Collins
Kneser-Ney Smoothing on Expected Counts, Hui Zhang and David Chiang
Linguistic Structured Sparsity in Text Categorization, Dani Yogatama and Noah A. Smith
Robust Entity Clustering via Phylogenetic Inference, Nicholas Andrews, Jason Eisner and Mark Dredze
Spectral Unsupervised Parsing with Additive Tree Metrics, Ankur P. Parikh, Shay B. Cohen and Eric P. Xing
Unsupervised Feature Learning for Visual Sign Language Identification, Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude and Tom Heskes
Clear selection
MACHINE TRANSLATION
Yes
No
Maybe
A Constrained Viterbi Relaxation for Bidirectional Word Alignment, Yin-Wen Chang, Alexander M. Rush, John DeNero and Michael Collins
A Recursive Recurrent Neural Network for Statistical Machine Translation, Shujie Liu, Nan Yang, Mu Li and Ming Zhou
A Sense-Based Translation Model for Statistical Machine Translation, Deyi Xiong and Min Zhang
Adaptive HTER Estimation for Document-Specific MT Post-Editing, Fei Huang, Jian-Ming Xu, Abraham Ittycheriah and Salim Roukos
Bilingually-constrained Phrase Embeddings for Machine Translation, Jiajun Zhang, Shujie Liu, Mu Li, Ming Zhou and Chengqing Zong
Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT, Mei Tu, Yu Zhou and Chengqing Zong
Fast and Robust Neural Network Joint Models for Statistical Machine Translation, Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz and John Makhoul
Lattice Desegmentation for Statistical Machine Translation, Mohammad Salameh, Colin Cherry and Greg Kondrak
Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation, Shixiang Lu, Zhenbiao Chen and Bo Xu
Learning Topic Representation for SMT with Neural Networks, Lei Cui, Dongdong Zhang, Shujie Liu, Qiming Chen, Mu Li, Ming Zhou and Muyun Yang
Recurrent Neural Networks for Word Alignment Model, Akihiro Tamura, Taro Watanabe and Eiichiro Sumita
Response-based Learning for Grounded Machine Translation, Stefan Riezler, Patrick Simianer and Carolin Haas
Translation Assistance by Translation of L1 Fragments in an L2 Context, Maarten van Gompel and Antal van den Bosch
Assessing the Discourse Factors that Influence the Quality of Machine Translation, Junyi Jessy Li, Marine Carpuat and Ani Nenkova
Automatic Detection of Machine Translated Text and Translation Quality Estimation, Roee Aharoni, Moshe Koppel and Yoav Goldberg
EM Decipherment for Large Vocabularies, Malte Nuhn and Hermann Ney
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large-scale Corpora, xiaolin wang, Masao Utiyama, Andrew Finch and Eiichiro Sumita
Hierarchical MT Training using Max-Violation Perceptron, Kai Zhao, Liang Huang, Haitao Mi and Abe Ittycheriah
RNN-based Derivation Structure Prediction for SMT, Feifei Zhai, Jiajun Zhang, Yu Zhou and Chengqing Zong
Sentence Level Dialect Identification for Machine Translation System Selection, Wael Salloum, Heba Elfardy, Linda Alamir-Salloum, Nizar Habash and Mona Diab
Understanding Relation Temporality of Entities, Taesung Lee and Seung-won Hwang
XMEANT: Better semantic MT without reference translations, Chi-kiu Lo, Meriem Beloucif, Markus Saers and Dekai Wu
Clear selection
MULTILINGUALITY AND MULTIMODAL NLP
Yes
No
Maybe
CoSimRank: A Flexible & Efficient Graph-Theoretic Similarity Measure, Sascha Rothe and Hinrich Schuetze
Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world, Angeliki Lazaridou, Elia Bruni and Marco Baroni
[TACL] From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions, Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier
Clear selection
NLP APPLICATIONS AND NLP-ENABLED TECHNOLOGY
Yes
No
Maybe
A Joint Graph Model for Pinyin-to-Chinese Conversion with Typo Correction, Zhongye Jia and Hai Zhao
Predicting Instructor's Intervention in MOOC forums, Snigdha Chaturvedi, Dan Goldwasser and Hal Daumé III
Smart Selection, Patrick Pantel, Michael Gamon and Ariel Fuxman
Automation and Evaluation of the Keyword Method for Second Language Learning, Gozde Ozbal, Daniele Pighin and Carlo Strapparava
Citation Resolution: A method for evaluating context-based citation recommendation systems, Daniel Duma and Ewan Klein
How to Speak a Language without Knowing It, Xing Shi, Kevin Knight and Heng Ji
Clear selection
NLP FOR THE WEB AND SOCIAL MEDIA
Yes
No
Maybe
Inferring User Political Preferences from Streaming Communications, Svitlana Volkova, Glen Coppersmith and Benjamin Van Durme
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter, Chenhao Tan, Lillian Lee and Bo Pang
Unsupervised Solution Post Identification from Discussion Forums, Deepak P and Karthik Visweswariah
Weakly Supervised User Profile Extraction from Twitter, Jiwei Li, Alan Ritter and Eduard Hovy
Be Appropriate and Funny: Automatic Entity Morph Encoding, Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener
Exponential Reservoir Sampling for Streaming Language Models, Miles Osborne, Ashwin Lall and Benjamin Van Durme
Normalizing tweets with edit scripts and recurrent neural embeddings, Grzegorz Chrupa?a
Clear selection
PHONOLOGY, MORPHOLOGY AND WORD SEGMENTATION
Yes
No
Maybe
Max-Margin Tensor Neural Network for Chinese Word Segmentation, Wenzhe Pei, Tao Ge and Baobao Chang
Modelling function words improves unsupervised word segmentation, Mark Johnson, Anne Christophe, Emmanuel Dupoux and Katherine Demuth
[TACL] Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Grammars, Benjamin Börschinger and Mark Johnson
Clear selection
QUESTION ANSWERING
Yes
No
Maybe
Discourse Complements Lexical Semantics for Non-factoid Answer Reranking, Peter Jansen, Mihai Surdeanu and Peter Clark
Information Extraction over Structured Data: Question Answering with Freebase, Xuchen Yao and Benjamin Van Durme
Knowledge-Based Question Answering as Machine Translation, Junwei Bao, Nan Duan, Ming Zhou and Tiejun Zhao
Clear selection
SEMANTICS
Yes
No
Maybe
A Discriminative Graph-Based Parser for the Abstract Meaning Representation, Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith
A practical and linguistically-motivated approach to compositional distributional semantics, Denis Paperno, The Nghia Pham and Marco Baroni
Context-dependent Semantic Parsing for Time Expressions, Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer
Learning to Automatically Solve Algebra Word Problems, Nate Kushman, Luke Zettlemoyer, Regina Barzilay and Yoav Artzi
Logical Inference on Dependency-based Compositional Semantics, Ran Tian, Yusuke Miyao and Takuya Matsuzaki