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.

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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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
    Metaphor Detection with Cross-Lingual Model Transfer, Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg and Chris Dyer
    Multilingual Models for Compositional Distributed Semantics, Karl Moritz Hermann and Phil Blunsom
    Semantic Frame Identification with Distributed Word Representations, Karl Moritz Hermann, Dipanjan Das, Jason Weston and Kuzman Ganchev
    Semantic Parsing via Paraphrasing, Jonathan Berant and Percy Liang
    Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem, Woodley Packard, Emily M. Bender, Jonathon Read, Stephan Oepen and Rebecca Dridan
    Recognizing Implied Predicate-Argument Relationships in Textual Inference, Asher Stern and Ido Dagan
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    An Empirical Study on the Effect of Negation Words on Sentiment, Xiaodan Zhu, Hongyu Guo, Saif Mohammad and Svetlana Kiritchenko
    ConnotationWordNet: Learning Connotation over the Word+Sense Network, Jun Seok Kang, Song Feng, Leman Akoglu and Yejin Choi
    Context-aware Learning for Sentence-level Sentiment Analysis with Posterior Regularization, Bishan Yang and Claire Cardie
    Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking, Kang Liu, Liheng Xu and Jun Zhao
    Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification, Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu and Bing Qin
    Product Feature Mining: Semantic Clues versus Syntactic Constituents, Liheng Xu, Kang Liu, Siwei Lai and Jun Zhao
    Towards a General Rule for Identifying Deceptive Opinion Spam, Jiwei Li, Myle Ott, Claire Cardie and Eduard Hovy
    A Bayesian Mixed Effects Model of Literary Character, David Bamman, Ted Underwood and Noah A. Smith
    Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms, Thang Nguyen, Yuening Hu and Jordan Boyd-Graber
    Aspect Extraction with Automated Prior Knowledge Learning, Zhiyuan Chen, Arjun Mukherjee and Bing Liu
    A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection, Lu Wang and Claire Cardie
    Building Sentiment Lexicons for All Major Languages, Yanqing Chen and Steven Skiena
    Cross-lingual Opinion Analysis via Negative Transfer Detection, Lin Gui, Ruifeng Xu, Qin Lu, Jun Xu, Jian Xu, Bin Liu and Xiaolong Wang
    Tri-Training for Authorship Attribution with Limited Training Data, Tieyun Qian, Bing Liu, Li Chen and Zhiyong Peng
    Learning Polylingual Topic Models from Code-Switched Social Media Documents, Nanyun Peng, Yiming Wang and Mark Dredze
    [TACL] Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM,Lizhen Qu, Yi Zhang, Rui Wang, Lili Jiang, Rainer Gemulla,Gerhard Weikum
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    Hippocratic Abbreviation Expansion, Brian Roark and Richard Sproat
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    Exploiting Timelines to Enhance Multi-document Summarization, Jun-Ping Ng, Yan Chen, Min-Yen Kan and Zhoujun Li
    Hierarchical Summarization: Scaling Up Multi-Document Summarization, Janara Christensen, Stephen Soderland, Gagan Bansal and Mausam
    Modelling Events through Memory-based, Open-IE Patterns for Abstractive Summarization, Daniele Pighin, Marco Cornolti, Enrique Alfonseca and Katja Filippova
    Query-Chain Focused Summarization, Tal Baumel, Raphael Cohen and Michael Elhadad
    A Bayesian Method to Incorporate Background Knowledge during Automatic Text Summarization, Annie Louis
    Polynomial Time Joint Structural Inference for Sentence Compression, Xian Qian and Yang Liu
    Single Document Summarization based on Nested Tree Structure, Yuta Kikuchi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura and Masaaki NAGATA
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    Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing, Zhenghua Li, Min Zhang and Wenliang Chen
    Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing, Weiwei Sun, Yantao Du, Xin Kou, Shuoyang Ding and Xiaojun Wan
    Less Grammar, More Features, David Hall, Greg Durrett and Dan Klein
    Low-Rank Tensors for Scoring Dependency Structures, Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola
    Shift-Reduce CCG Parsing with a Dependency Model, Wenduan Xu, Stephen Clark and Yue Zhang
    Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees, Yuan Zhang, Tao Lei, Regina Barzilay, Tommi Jaakkola and Amir Globerson
    Tagging The Web: Building A Robust Web Tagger with Neural Network, Ji Ma, Yue Zhang and Jingbo Zhu
    Sparser, Better, Faster GPU Parsing, David Hall, Taylor Berg-Kirkpatrick and Dan Klein
    Experiments with crowdsourced re-annotation of a POS tagging data set, Dirk Hovy, Barbara Plank and Anders Søgaard
    How much do word embeddings encode about syntax?, Jacob Andreas and Dan Klein
    Incremental predictive parsing with TurboParser, Arne Köhn and Wolfgang Menzel
    Observational Initialization of Type-Supervised Taggers, Hui Zhang and John DeNero
    Punctuation Processing for Projective Dependency Parsing, Ji Ma, Yue Zhang and Jingbo Zhu
    Tailoring Continuous Word Representations for Dependency Parsing, Mohit Bansal, Kevin Gimpel and Karen Livescu
    Transforming trees into hedges and parsing with "hedgebank" grammars, Mahsa Yarmohammadi, Aaron Dunlop and Brian Roark
    [TACL] FLORS: Fast and Simple Domain Adaptation for Part-of-Speech Tagging, Tobias Schnabel, Hinrich Schütze
    [TACL] Joint Incremental Disfluency Detection and Dependency Parsing, Matthew Honnibal and Mark Johnson
    [TACL] A Tabular Method for Dynamic Oracles in Transition-Based Parsing, Yoav Goldberg, Francesco Sartorio, Giorgio Satta
    [TACL] Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning, Mengqiu Wang and Christopher D. Manning
    [TACL] A Crossing-Sensitive Third-Order Factorization for Dependency Parsing, Emily Pitler
    [TACL] Training Deterministic Parsers with Non-Deterministic Oracles, Yoav Goldberg and Joakim Nivre
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