Conference program for EMNLP 2013

Program overview

Saturday, Oct 19

• 7:30–9:00 Breakfast and Registration
• 9:00–9:15 Opening remarks
• 9:20–10:30 Information Extraction I, Language Acquisition and Processing,
  NLP for Social Media I
• 10:30–11:00 Break
• 11:00–12:35 NLP Applications I, Semantics I, Language Resources
• 12:35–2:00 Lunch
• 2:00–3:15 First invited talk: Andrew Ng
• 3:15–3:45 Break
• 3:45–5:50 Machine Translation I, Dialogue and Discourse, Morphology and Phonology
• 6:00–9:00pm Reception and Poster sessions (A, B)

Sunday, Oct 20

• 8:00–9:00 Breakfast and Registration
• 9:15–10:30 Second invited talk: Fernando Pereira
• 10:30–11:00 Break
• 11:00–12:35 Machine Learning for NLP, Summarization and Generation,
  Information Extraction and Social Media Analysis
• 12:35–2:00 Lunch
• 2:00–3:35 Machine Translation II, Semantics II, Opinion Mining and Sentiment Analysis I
• 3:35–4:05 Break
• 4:05–5:55 Machine Translation III, Information Extraction II, NLP Applications II

Monday, Oct 21

• 8:00–9:00 Breakfast and Registration
• 9:00–10:35 Information Extraction III, Opinion Mining and Sentiment Analysis II ,
  NLP for Social Media II
• 10:35–11:00 Break
• 11:00–11:45 Parsing, Semantics III, NLP Applications III
• 11:45–12:15 SIGDAT business meeting
• 12:15–1:45 Lunch
• 1:45–3:15 Plenary session I
• 3:15–3:45 Break
• 3:45–4:45 Plenary session II
• 4:45–5:15 Closing session

Full conference programme

Saturday, Oct 19

Information Extraction I

Chair: Stephen Bethard

• 9:20–9:45 Event-based Time Label Propagation for Automatic Dating of News Articles Tao Ge, Baobao Chang, Sujian Li and Zhifang Sui
• 9:45–10:10 Exploiting Discourse Analysis for Article-Wide Temporal Classification Jun Ping Ng, Min-Yen Kan, Ziheng Lin, Vanessa Wei Feng, Bin Chen, Jian Su and Chew Lim Tan
• 10:10–10:30 Combining Generative and Discriminative Model Scores for Distant Supervision Benjamin Roth and Dietrich Klakow

Language Acquisition and Processing

Chair: Julia Hockenmaier

• 9:20–9:45 Exploring the utility of joint morphological and syntactic learning from child-directed speech Stella Frank, Frank Keller and Sharon Goldwater
• 9:45–10:10 A Joint Learning Model of Word Segmentation, Lexical Acquisition, and Phonetic Variability Micha Elsner, Sharon Goldwater, Naomi Feldman and Frank Wood
• 10:10–10:30 Animacy Detection with Voting Models ( Joshua Moore, Chris Burges, Erin Renshaw and Wen-tau Yih ))

NLP for Social Media I

Chair: Noah Smith

• 9:20–9:45 A Log-Linear Model for Unsupervised Text Normalization Yi Yang and Jacob Eisenstein
• 9:45–10:10 Paraphrasing 4 Microblog Normalization Wang Ling, Chris Dyer, Alan Black and Isabel Trancoso
• 10:10–10:30 Question Difficulty Estimation in Community Question Answering Services Jing Liu, Quan Wang and Chin-Yew Lin

NLP Applications I

Chair: Hang Li

• 11:00–11:25 Measuring Ideological Proportions in Political Speeches Yanchuan Sim, Brice Acree, Justin H. Gross and Noah A. Smith
• 11:25–11:50 Learning to Freestyle: Hip Hop Challenge-Response Induction via Transduction Rule Chunking and Segmentation Dekai Wu, Karteek Addanki and Markus Saers
• 11:50–12:15 Modeling Scientific Impact with Topical Influence Regression James Foulds and Padhraic Smyth
• 12:15–12:35 Joint Parsing and Disfluency Detection in Linear Time Mohammad Sadegh Rasooli and Joel Tetreault

Semantics I

Chair: Luke Zettlemoyer

• 11:00–11:25 Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks Masashi Tsubaki, Kevin Duh, Masashi Shimbo and Yuji Matsumoto
• 11:25–11:50 Studying the recursive behaviour of adjectival modification with compositional distributional semantics Eva Maria Vecchi, Roberto Zamparelli and Marco Baroni
• 11:50–12:15 Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering Min Xiao, Feipeng Zhao and Yuhong Guo
• 12:15–12:35 Appropriately Incorporating Statistical Significance in PMI Om Damani and Shweta Ghonge

Language Resources

Chair: Emily Bender

• 11:00–11:25 Growing Multi-Domain Glossaries from a Few Seeds with Probabilistic Topic Models Stefano Faralli and Roberto Navigli
• 11:25–11:50 Joint Learning of Phonetic Units and Word Pronunciations for ASR Chia-ying Lee, Yu Zhang and James Glass
• 11:50–12:15 MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text Matthew Richardson, Chris Burges and Erin Renshaw
• 12:15–12:35 Noise-aware Character Alignment for Bootstrapping Statistical Machine Transliteration from Bilingual Corpora Katsuhito Sudoh, Shinsuke Mori and Masaaki Nagata

Machine Translation I

Chair: Kevin Knight

• 3:45–4:10 Optimal Beam Search for Machine Translation Alexander Rush, Yin-Wen Chang and Michael Collins
• 4:10–4:35 An Efficient Language Model Using Double-Array Structures Makoto Yasuhara, Toru Tanaka, Jun-ya Norimatsu and Mikio Yamamoto
• 4:35–5:00 Structured Penalties for Log-Linear Language Models Anil Nelakanti, Cedric Archambeau, Julien Mairal, Francis Bach and Guillaume Bouchard
• 5:00–5:25 Interactive Machine Translation using Hierarchical Translation Models Jesús González-Rubio, Daniel Ortíz-Martinez, José-Miguel Benedí and Francisco Casacuberta
• 5:25–5:50 Max-Margin Synchronous Grammar Induction for Machine Translation Xinyan Xiao and Deyi Xiong

Dialogue and Discourse

Chair: Eugene Charniak

• 3:45–4:10 Error-Driven Analysis of Challenges in Coreference Resolution Jonathan K. Kummerfeld and Dan Klein
• 4:10–4:35 Exploiting Zero Pronouns to Improve Chinese Coreference Resolution Fang Kong and Hwee Tou Ng
• 4:35–5:00 Joint Coreference Resolution and Named-Entity Linking with Multi-pass Sieves Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld and Luke Zettlemoyer
• 5:00–5:25 Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data Varada Kolhatkar, Heike Zinsmeister and Graeme Hirst
• 5:25–5:50 Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning [TACL] Minh-Thang Luong, Michael C. Frank, Mark Johnson

Morphology and Phonology

Chair: Anders Sogaard

• 3:45–4:10 Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation Longkai Zhang, Houfeng Wang, Xu Sun and Mairgup Mansur
• 4:10–4:35 Efficient Higher-Order CRFs for Morphological Tagging Thomas Mueller, Hinrich Schuetze and Helmut Schmid
• 4:35–5:00 The Effects of Syntactic Features in Automatic Prediction of Morphology Wolfgang Seeker and Jonas Kuhn
• 5:00–5:25 Adaptor Grammars for Learning non-concatenative Morphology Jan Botha and Phil Blunsom

Reception and Poster sessions

• 6:30–8:30pm Dinner

• 6:00–7:30pm Poster session A
• 7:30–9:00pm Poster session B

Poster session A (6:00–7:30pm)

• - Automatic Feature Engineering for Answer Selection and Extraction Aliaksei Severyn and Alessandro Moschitti
• - Joint Learning and Inference for Grammatical Error Correction Alla Rozovskaya and Dan Roth
• - Grounding Strategic Conversation: Using negotiation dialogues to predict trades in a win-lose game Anais Cadilhac, Nicholas Asher, Farah Benamara and Alex Lascarides
• - Document Summarization via Guided Sentence Compression Chen Li, Fei Liu, Fuliang Weng and Yang Liu
• - Latent Anaphora Resolution for Cross-Lingual Pronoun Prediction Christian Hardmeier, Jörg Tiedemann and Joakim Nivre
• - Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems Claire Gardent and Lina Maria Rojas Barahona
• - Building Specialized Bilingual Lexicons Using Large Scale Background Knowledge Dhouha Bouamor, Adrian Popescu, Nasredine Semmar and Pierre Zweigenbaum
• - Automatic Domain Partitioning for Multi-Domain Learning Di Wang, Chenyan Xiong and William Yang Wang
• - Exploiting language models for visual recognition Dieu-Thu Le, Jasper Uijlings and Raffaella Bernardi
• - Word Level Language Identification in Online Multilingual Communication Dong Nguyen and Seza Dogruoz
• - Sarcasm as Contrast between a Positive Sentiment and Negative Situation Ellen Riloff, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert and Ruihong Huang
• - Effectiveness and Efficiency of Open Relation Extraction Filipe Mesquita, Jordan Schmidek and Denilson Barbosa
• - Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion Franco M. Luque, Raphaël Bailly, Xavier Carreras and Ariadna Quattoni
• - With blinkers on: A robust model of eye movements across readers Franz Matthies and Anders Søgaard
• - Online Learning for Inexact Hypergraph Search Hao Zhang, Kai Zhao, Liang Huang and Ryan McDonald
• - Anchor Graph: Global Reordering Contexts for Statistical Machine Translation Hendra Setiawan, Bowen Zhou and Bing Xiang
• - Joint Bootstrapping of Corpus Annotations and Entity Types Hrushikesh Mohapatra, Siddhanth Jain and Soumen Chakrabarti
• - Centering Similarity Measures to Reduce Hubs Ikumi Suzuki, Kazuo Hara, Masashi Shimbo, Marco Saerens and Kenji Fukumizu
• - The Topology of Semantic Knowledge Jimmy Dubuisson, Jean-Pierre Eckmann, Christian Scheible and Hinrich Schütze
• - Automatically Classifying Edit Categories in Wikipedia Revisions Johannes Daxenberger and Iryna Gurevych
• - Two-stage Method for Large-scale Acquisition of Contradiction Pattern Pairs using Entailment Julien Kloetzer, Stijn De Saeger, Kentaro Torisawa, Chikara Hashimoto, Jong-Hoon Oh, Motoki Sano and Kiyonori Ohtake
• - Dynamic Programming for Optimal Best-First Shift-Reduce Parsing Kai Zhao, James Cross and Liang Huang
• - A Constrained Latent Variable Model for Coreference Resolution Kai-Wei Chang, Rajhans Samdani and Dan Roth
• - Identifying Phrasal Verbs Using Many Bilingual Corpora Karl Pichotta and John DeNero
• - Rule-based Information Extraction is Dead! Long Live Rule-based Information Extraction Systems! Laura Chiticariu, Yunyao Li and Frederick Reiss
• - What is Hidden among Translation Rules Libin Shen and Bowen Zhou
• - Optimized Event Storyline Generation based on Mixture-Event-Aspect Model Lifu Huang and Lian'en Huang
• - A discourse-driven content model for summarising scientific articles evaluated in a complex question answering task Maria Liakata, Simon Dobnik, Shyamasree Saha, Colin Batchelor and Dietrich Rebholz-Schuhmann
• - Open-Domain Fine-Grained Class Extraction from Web Search Queries Marius Pasca
• - Flexible and Efficient Hypergraph Interactions for Joint Hierarchical and Forest-to-String Decoding Martin Cmejrek, Haitao Mi and Bowen Zhou
• - Scaling to Large^3 Data: An efficient and effective method to compute Distributional Thesauri Martin Riedl and Chris Biemann
• - Improving Learning and Inference in a Large Knowledge-base using Latent Syntactic Cues Matt Gardner, Partha Talukdar, Bryan Kisiel and Tom Mitchell
• - Unsupervised Induction of Cross-lingual Semantic Relations Mike Lewis
• - A Corpus Level MIRA Tuning Strategy for Machine Translation Ming Tan, Tian Xia, Shaojun Wang and Bowen Zhou
• - Unsupervised Relation Extraction with General Domain Knowledge Oier Lopez de Lacalle and Mirella Lapata
• - Recursive Autoencoders for ITG-based Translation Peng Li, Yang Liu and Maosong Sun
• - Russian Stress Prediction using Maximum Entropy Ranking Richard Sproat and Keith Hall
• - Towards Situated Dialogue: Revisiting Referring Expression Generation Rui Fang, Changsong Liu, Lanbo She and Joyce Chai
• - Converting Continuous-Space Language Models into N-gram Language Models for Statistical Machine Translation Rui Wang, Masao Utiyama, Isao Goto, Eiichro Sumita, Hai Zhao and Bao-Liang Lu
• - Is Twitter A Better Corpus for Measuring Sentiment Similarity? Shi Feng, Le Zhang, Kaisong Song and Daling Wang
• - A synchronous context free grammar for time normalization Steven Bethard
• - Decipherment with a Million Random Restarts Taylor Berg-Kirkpatrick and Dan Klein
• - Automatically Determining a Proper Length for Multi-document Summarization: A Bayesian Nonparametric Approach Tengfei Ma and Hiroshi Nakagawa
• - Improving Alignment of System Combination by Using Multi-objective Optimization Tian Xia, Zongcheng Ji and Yidong Chen
• - Source-Side Classifier Preordering for Machine Translation Uri Lerner and Slav Petrov
• - Implicit Feature Detection via a Constrained Topic Model and SVM Wei Wang, Hua Xu and XIaoqiu Huang
• - Improving Web Search Ranking by Incorporating Structured Annotation of Queries Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu and Ji-rong Wen
• - Improving Pivot-Based Statistical Machine Translation Using Random Walk Xiaoning Zhu, Zhongjun He, Hua Wu, Haifeng Wang, Conghui Zhu and Tiejun Zhao
• - Deep Learning for Chinese Word Segmentation and POS Tagging Xiaoqing Zheng, Hanyang Chen and Tianyu Xu
• - Joint Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning Xipeng Qiu and Xuanjing Huang
• - Semi-Markov Phrase-based Monolingual Alignment Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch and Peter Clark
• - Discriminative Improvements to Distributional Sentence Similarity Yangfeng Ji and Jacob Eisenstein
• - Mining Scientific Terms and their Definitions: A Study of the ACL Anthology Yiping Jin, Min-Yen Kan, Jun-Ping Ng and Xiangnan He
• - Cascading Collective Classification for Bridging Anaphora Recognition using a Rich Linguistic Feature Set Yufang Hou, Katja Markert and Michael Strube
• - Microblog Entity Linking by Leveraging Multiple Posts Yuhang Guo, Bing Qin, Ting Liu and Sheng Li
• - Efficient Collective Entity Linking with Stacking Zhengyan He, Shujie Liu, Yang Song, Mu Li, Ming Zhou and Houfeng Wang
• - Unsupervised Induction of Contingent Event Pairs from Film Scenes Zhichao Hu, Elahe Rahimtoroghi, Larissa Munishkina, Reid Swanson and Marilyn Walker
• - Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation Zhongqiang Huang, Jacob Devlin and Rabih Zbib
• - Collective Personal Profile Summarization with Social Networks Zhongqing Wang, Shoushan LI, Fang Kong and Guodong Zhou

Poster session B (7:30–9:00pm)

• - Identifying Web Search Query Reformulation using Concept based Matching Ahmed Hassan
• - Leveraging lexical cohesion and disruption for topic segmentation Anca-Roxana Simon, Guillaume Gravier and Pascale Sébillot
• - Monolingual Marginal Matching for Translation Model Adaptation Ann Irvine, Chris Quirk and Hal Daumé III
• - Decoding with Large-Scale Neural Language Models Improves Translation Ashish Vaswani, yinggong zhao, Victoria Fossum and David Chiang
• - Tree Kernel-based Negation and Speculation Scope Detection with Structured Syntactic Parse Features Bowei Zou, Guodong Zhou and ZHU QIAOMING
• - Machine Learning for Chinese Zero Pronoun Resolution: Some Recent Advances Chen Chen and Vincent Ng
• - A temporal model of text periodicities using Gaussian Processes Daniel Preoţiuc-Pietro and Trevor Cohn
• - Image Description using Visual Dependency Representations Desmond Elliott and Frank Keller
• - Naive Bayes Word Sense Induction Do Kook Choe and Eugene Charniak
• - Detecting Compositionality of Multi-Word Expressions using Nearest Neighbours in Vector Space Models Douwe Kiela and Stephen Clark
• - A Semantically Enhanced Approach to Determine Textual Similarity Eduardo Blanco and Dan Moldovan
• - An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training Fan Yang and Paul Vozila
• - Translation with Source Constituency and Dependency Trees Fandong Meng, Jun Xie, Linfeng Song, Yajuan Lü and Qun Liu
• - Predicting the Presence of Discourse Connectives Gary Patterson and Andrew Kehler
• - Automatic Idiom Identification in Wiktionary Grace Muzny and Luke Zettlemoyer
• - A Dataset for Research on Short-Text Conversation Hao Wang, Zhengdong Lu, Hang Li and Enhong Chen
• - Violation-Fixing Perceptron and Forced Decoding for Scalable MT Training heng yu, Liang Huang and Haitao Mi
• - Improvements to the Bayesian Topic N-gram Models Hiroshi Noji, Daichi Mochihashi and Yusuke Miyao
• - Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction Jason Weston, Antoine Bordes, Oksana Yakhnenko and Nicolas Usunier
• - Simulating Early-Termination Search for Verbose Spoken Queries Jerome White, Douglas Oard, Nitendra Rajput and Marion Zalk
• - Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs Jinpeng Wang, Wayne Xin Zhao and Xiaoming Li
• - Improving Statistical Machine Translation with Word Class Models Joern Wuebker, Stephan Peitz, Felix Rietig and Hermann Ney
• - Dependency language models for sentence completion Joseph Gubbins and Andreas Vlachos
• - Leveraging Alternative Grammar Extraction Strategies using Lagrangian Relaxation with PCFG-LA Product Model Parsing: A Case Study with Function Labels and Binarization joseph le roux, Antoine Rozenknop and Jennifer Foster
• - The VerbCorner Project: Toward an empirically-based semantic decomposition of verbs Joshua Hartshorne, Claire Bonial and Martha Palmer
• - Where Not to Eat? Predicting Restaurant Inspections from Online Reviews Jun Seok Kang, Polina Kuznetsova, Michael Luca and Yejin Choi
• - Shift-Reduce Word Reordering for Machine Translation Katsuhiko Hayashi, Katsuhito Sudoh, Hajime Tsukada, Jun Suzuki and Masaaki NAGATA
• - Averaged Recursive Neural Networks for Semantic Relation Classification Kazuma Hashimoto, Makoto Miwa, Yoshimasa Tsuruoka and Takashi Chikayama
• - A Systematic Exploration of Diversity in Machine Translation Kevin Gimpel, Dhruv Batra, Chris Dyer and Gregory Shakhnarovich
• - Elephant: Sequence Labeling for Word and Sentence Segmentation Kilian Evang, Valerio Basile, Grzegorz Chrupała and Johan Bos
• - Multi-domain Adaptation for SMT Using Multi-task Learning Lei Cui, Xilun Chen, Dongdong Zhang, Shujie Liu, Mu Li and Ming Zhou
• - Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet Marco Guerini, Lorenzo Gatti and Marco Turchi
• - Efficient Left-to-Right Hierarchical Phrase-based Translation with Improved Reordering Maryam Siahbani, Baskaran Sankaran and Anoop Sarkar
• - Japanese Zero Reference Resolution Considering Exophora and Author/Reader Mentions Masatsugu Hangyo, Daisuke Kawahara and Sadao Kurohashi
• - Joint Language and Translation Modeling with Recurrent Neural Networks Michael Auli, Michel Galley, Chris Quirk and Geoffrey Zweig
• - The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data Mikhail Ageev, Dmitry Lagun and Eugene Agichtein
• - Gender Inference of Twitter Users in Non-English Contexts Morgane Ciot, Morgan Sonderegger and Derek Ruths
• - Automatically Identifying Pseudepigraphic Texts Moshe Koppel and Shachar Seidman
• - Predicting the resolution of referring expressions from user behavior Nikos Engonopoulos, Martin Villalba, Ivan Titov and Alexander Koller
• - Assembling the Kazakh Language Corpus Olzhas Makhambetov, Aibek Makazhanov, Zhandos Yessenbayev, Bakhyt Matkarimov, Islam Sabyrgaliyev and Anuar Sharafudinov
• - Application of Localized Similarity for Web Documents Peter Reberšek and Mateja Verlic
• - Using Topic Modeling to Improve Prediction of Neuroticism and Depression in College Students Philip Resnik, Anderson Garron and Rebecca Resnik
• - Understanding and Quantifying Creativity in Lexical Composition Polina Kuznetsova, Jianfu Chen and Yejin Choi
• - Discourse Level Explanatory Relation Extraction from Product Reviews Using First-order Logic Qi ZHANG, Jin Qian, Huan Chen, Jihua Kang and Xuanjing Huang
• - Automatic Extraction of Morphological Lexicons from Morphologically Annotated Corpora Ramy Eskander, Nizar Habash and Owen Rambow
• - Joint segmentation and supertagging for English Rebecca Dridan
• - Exploiting Multiple Sources for Open-domain Hypernym Discovery Ruiji Fu, Bing Qin and Ting Liu
• - Automatic Knowledge Acquisition for Case Alternation between the Passive and Active Voices in Japanese Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi and Manabu Okumura
• - A Walk-based Semantically Enriched Tree Kernel Over Distributed Word Representations Shashank Srivastava, Dirk Hovy and Eduard Hovy
• - Summarizing Complex Events: a Cross-modal Solution of Storylines Extraction and Reconstruction Shize Xu and Yan Zhang
• - Feature Noising for Log-linear Structured Prediction Sida Wang, Mengqiu Wang, Chris Manning, Percy Liang and Stefan Wager
• - Automatically Detecting and Attributing Indirect Quotations Silvia Pareti, Tim O'Keefe, Ioannis Konstas, James R. Curran and Irena Koprinska
• - A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities Stephen Roller and Sabine Schulte im Walde
• - Identifying Multiple Userids of the Same Author Tieyun Qian and Bing Liu
• - Semi-supervised Feature Transformation for Dependency Parsing Wenliang Chen, Min Zhang and Yue Zhang
• - Bilingual Word Embeddings for Phrase-Based Machine Translation Will Zou, Richard Socher, Daniel Cer and Christopher Manning
• - A Laplacian Structured Sparsity Model for Computational Branding Analytics William Yang Wang, Eduard Lin and John Kominek
• - Building Event Threads out of Multiple News Articles Xavier Tannier and Véronique Moriceau

Sunday, Oct 20

Machine Learning for NLP

Chair: Chris Dyer

• 11:00–11:25 Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction [TACL] Ming-Wei Chang, Wen-tau Yih
• 11:25–11:50 Dynamic Feature Selection for Dependency Parsing He He, Hal Daumé III and Jason Eisner
• 11:50–12:15 Semi-Supervised Representation Learning for Cross-Lingual Text Classification Min Xiao and Yuhong Guo
• 12:15–12:35 Using crowdsourcing to get representations based on regular expressions Anders Søgaard, Hector Martinez, Jakob Elming and Anders Johannsen

Summarization and Generation

Chair: Lucy Vanderwende

• 11:00–11:25 Overcoming the Lack of Parallel Data in Sentence Compression Katja Filippova and Yasemin Altun
• 11:25–11:50 Fast Joint Compression and Summarization via Graph Cuts Xian Qian and Yang Liu
• 11:50–12:15 Inducing Document Plans for Concept-to-text Generation Ioannis Konstas and Mirella Lapata
• 12:15–12:35 Single-Document Summarization as a Tree Knapsack Problem Tsutomu Hirao, Yasuhisa Yoshida, Masaaki Nishino, Norihito Yasuda and Masaaki Nagata

Information Extraction and Social Media Analysis

Chair: Soumen Chakrabarti

• 11:00–11:25 A Hierarchical Entity-based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King and Michael R. Lyu
• 11:25–11:50 Semantic Parsing on Freebase from Question-Answer Pairs Jonathan Berant, Roy Frostig, Andrew Chou and Percy Liang
• 11:50–12:15 Scaling Semantic Parsers with On-the-fly Ontology Matching Tom Kwiatkowski, Eunsol Choi, Yoav Artzi and Luke Zettlemoyer
• 12:15–12:35 Classifying Message Board Posts with an Extracted Lexicon of Patient Attributes Ruihong Huang and Ellen Riloff

Machine Translation II

Chair: Kristina Toutanova

• 2:00–2:25 Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation Deyi Xiong, Yang Ding, Min Zhang and Chew Lim Tan
• 2:25–2:50 Measuring machine translation errors in new domains [TACL] Ann Irvine, John Morgan, Marine Carpuat, Hal Daumé III, Dragos Munteanu
• 2:50–3:15 A Convex Alternative to IBM Model 2 Andrei Simion, Michael Collins and Cliff Stein
• 3:15–3:35 Pair Language Models for Deriving Alternative Pronunciations and Spellings from Pronunciation Dictionaries Russell Beckley and Brian Roark

Semantics II

Chair: Dipanjan Das

• 2:00–2:25 Prior Disambiguation of Word Tensors for Constructing Sentence Vectors Dimitri Kartsaklis and Mehrnoosh Sadrzadeh
• 2:25–2:50 Multi-Relational Latent Semantic Analysis Kai-Wei Chang, Wen-tau Yih and Christopher Meek
• 2:50–3:15 A Study on Bootstrapping Bilingual Vector Spaces from Non-Parallel Data (and Nothing Else) Ivan Vuli and Marie-Francine Moens
• 3:15–3:35 Deriving adjectival scales from continuous space word representations Joo-Kyung Kim and Marie-Catherine de Marneffe

Opinion Mining and Sentiment Analysis I

Chair: Oren Tsur

• 2:00–2:25 Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher, Alex Perelygin, Jean Wu, Christopher Manning, Andrew Ng and Jason Chuang
• 2:25–2:50 Open Domain Targeted Sentiment Margaret Mitchell, Jacqui Aguilar, Theresa Wilson and Benjamin Van Durme
• 2:50–3:15 Exploiting Domain Knowledge in Aspect Extraction Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malu Castellanos and Riddhiman Ghosh

Machine Translation III

Chair: Taro Watanabe

• 4:05–4:30 Dependency-Based Decipherment for Resource-Limited Machine Translation Qing Dou and Kevin Knight
• 4:30–4:55 Translating into Morphologically Rich Languages with Synthetic Phrases Victor Chahuneau, Eva Schlinger, Chris Dyer and Noah A. Smith
• 4:55–5:20 Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings Artem Sokokov, Laura Jehl, Felix Hieber and Stefan Riezler
• 5:20–5:55 Recurrent Continuous Translation Models Nal Kalchbrenner and Phil Blunsom

Information Extraction II

Chair: Ellen Riloff

• 4:05–4:30 Learning Biological Processes with Global Constraints Aju Thalappillil Scaria, Jonathan Berant, Mengqiu Wang, Peter Clark, Justin Lewis, Brittany Harding and Christopher Manning
• 4:30–4:55 Generating Coherent Event Schemas at Scale Niranjan Balasubramanian, Stephen Soderland, Mausam and Oren Etzioni
• 4:55–5:20 Modeling Missing Data in Distant Supervision for Information Extraction [TACL] Alan Ritter, Luke Zettlemoyer, Mausam and Oren Etzioni
• 5:20–5:55 Orthonormal explicit topic analysis for cross-lingual document matching John Philip McCrae, Philipp Cimiano and Roman Klinger

NLP Applications II

Chair: Min-Yen Kan

• 4:05–4:30 Automated Essay Scoring by Maximizing Human-machine Agreement Hongbo Chen and Ben He
• 4:30–4:55 Powergrading: a Clustering Approach to Amplify Human Effort for Short Answer Grading [TACL] Sumit Basu, Charles Jacobs and Lucy Vanderwende
• 4:55–5:20 Success with Style: Using Writing Style to Predict the Success of Novels Vikas Ashok, Song Feng and Yejin Choi
• 5:20–5:55 A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication Byron Wallace, Thomas Trikalinos, M Barton Laws, Ira Wilson and Eugene Charniak

Monday, Oct 21

Information Extraction III

Chair: Andreas Vlachos

• 9:00–9:25 Harvesting Parallel News Streams to Generate Paraphrases of Event Relations Congle Zhang and Daniel Weld
• 9:25–9:50 Relational Inference for Wikification Xiao Cheng and Dan Roth
• 9:50–10:15 Event Schema Induction with a Probabilistic Entity-Driven Model Nate Chambers
• 10:15–10:35 Using Soft Constraints in Joint Inference for Clinical Concept Recognition Prateek Jindal and Dan Roth

Opinion Mining and Sentiment Analysis II

Chair: Bing Liu

• 9:00–9:25 Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media Svitlana Volkova, Theresa Wilson and David Yarowsky
• 9:25–9:50 Opinion Mining in Newspaper Articles by Entropy-based Word Connections Thomas Scholz and Stefan Conrad
• 9:50–10:15 Collective Opinion Target Extraction in Chinese Microblogs Xinjie Zhou, Xiaojun Wan and Jianguo Xiao
• 10:15–10:35 Detecting Promotional Content in Wikipedia Shruti Bhosale, Heath Vinicombe and Ray Mooney

NLP for Social Media II

Chair: Chin-Yew Lin

• 9:00–9:25 Learning Topics and Positions from Debatepedia Swapna Gottipati, Minghui Qiu, Yanchuan Sim, Jing Jiang and Noah A. Smith
• 9:25–9:50 A Unified Model for Topics, Events and Users on Twitter Qiming Diao and Jing Jiang
• 9:50–10:15 Authorship Attribution of Micro-Messages Roy Schwartz, Oren Tsur, Ari Rappoport and Moshe Koppel
• 10:15–10:35 Detection of Product Comparisons -- How Far Does an Out-of-the-box Semantic Role Labeling System Take You? Wiltrud Kessler and Jonas Kuhn

Parsing

Chair: Keith Hall

• 11:00–11:25 A multi-Teraflop Constituency Parser using GPUs John Canny, David Hall and Dan Klein
• 11:25–11:45 Fish transporters and miracle homes: How compositional distributional semantics can help NP parsing Angeliki Lazaridou, Eva Maria Vecchi and Marco Baroni

Semantics III

Chair: Martha Palmer

• 11:00–11:25 Learning Distributions over Logical Forms for Referring Expression Generation Nicholas FitzGerald, Yoav Artzi and Luke Zettlemoyer
• 11:25–11:45 Learning to rank lexical substitutions György Szarvas, Róbert Busa-Fekete and Eyke Hüllermeier

NLP Applications III

Chair: Richart Sproat

• 11:00–11:25 Identifying Manipulated Offerings on Review Portals Jiwei Li, Myle Ott and Claire Cardie
• 11:25–11:45 Well-argued recommendation: adaptive models based on words in recommender systems Julien Gaillard, Marc El-Beze, Eitan Altman and Emmanuel Ethis

Plenary Session I

Chair: Anna Krohonen

• 1:45–2:15 Regularized Minimum Error Rate Training Michel Galley, Chris Quirk, Colin Cherry and Kristina Toutanova
• 2:15–2:45 Of words, eyes and brains: Correlating image-based distributional semantic models with neural representations of concepts Andrew J. Anderson, Elia Bruni, Ulisse Bordignon, Massimo Poesio and Marco Baroni
• 2:45–3:15 Easy Victories and Uphill Battles in Coreference Resolution Greg Durrett and Dan Klein

Plenary Session II

Chair: Tim Baldwin

• 3:45–4:15 Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction Valentin Spitkovsky, Hiyan Alshawi and Daniel Jurafsky
• 4:15–4:45 Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization Kuzman Ganchev and Dipanjan Das
• 4:45–5:15 Closing session