| NAACL HLT 2016 Proceedings Home | NAACL 2016 WEBSITE | ACL WEBSITE |
Main Conference PROGRAM
Sunday, June 12, 2016 | |
| 18:00–21:00 | Welcome reception, Pavilion |
Monday, June 13, 2016 | |
| 7:30–8:45 | Breakfast, Pavilion |
| 9:00–9:15 | Welcome, Grande Ballroom Kevin Knight, Ani Nenkova, Owen Rambow |
| 9:15–10:30 | Invited talk: "How can NLP help cure cancer?" Regina Barzilay |
| 10:30–11:00 | Coffee break, Pavilion |
| 11:00–12:30 | Session 1 |
| 1A. Machine translation | |
| 11:00–11:20 | Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics Yvette Graham and Qun Liu |
| 11:20–11:40 | Flexible Non-Terminals for Dependency Tree-to-Tree Reordering John Richardson, Fabien Cromierès, Toshiaki Nakazawa and Sadao Kurohashi |
| 11:40–12:00 | Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation Akiva Miura, Graham Neubig, Michael Paul and Satoshi Nakamura |
| 12:00–12:10 | Multi-Source Neural Translation Barret Zoph and Kevin Knight |
| 12:10–12:20 | Controlling Politeness in Neural Machine Translation via Side Constraints Rico Sennrich, Barry Haddow and Alexandra Birch |
| 12:20–12:30 | An Empirical Evaluation of Noise Contrastive Estimation for the Neural Network Joint Model of Translation Colin Cherry |
| 1B. Summarization | |
| 11:00–11:20 | Neural Network-Based Abstract Generation for Opinions and Arguments Lu Wang and Wang Ling |
| 11:20–11:40 | A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization William Yang Wang, Yashar Mehdad, Dragomir R. Radev and Amanda Stent |
| 11:40–12:00 | Entity-balanced Gaussian pLSA for Automated Comparison Danish Contractor, Parag Singla and Mausam |
| 12:00–12:10 | Automatic Summarization of Student Course Feedback Wencan Luo, Fei Liu, Zitao Liu and Diane Litman |
| 12:10–12:20 | Knowledge-Guided Linguistic Rewrites for Inference Rule Verification Prachi Jain and Mausam |
| 12:20–12:30 | Abstractive Sentence Summarization with Attentive Recurrent Neural Networks Sumit Chopra, Michael Auli and Alexander M. Rush |
| 1C. Dialog | |
| 11:00–11:20 | Integer Linear Programming for Discourse Parsing Jérémy Perret, Stergos Afantenos, Nicholas Asher and Mathieu Morey |
| 11:20–11:40 | A Diversity-Promoting Objective Function for Neural Conversation Models Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao and Bill Dolan |
| 11:40–12:00 | Multi-domain Neural Network Language Generation for Spoken Dialogue Systems Tsung-Hsien Wen, Milica Gašić, Nikola Mrkšić, Lina M. Rojas-Barahona, Pei-Hao Su, David Vandyke and Steve Young |
| 12:00–12:10 | A Long Short-Term Memory Framework for Predicting Humor in Dialogues Dario Bertero and Pascale Fung |
| 12:10–12:20 | Conversational Flow in Oxford-style Debates Justine Zhang, Ravi Kumar, Sujith Ravi and Cristian Danescu-Niculescu-Mizil |
| 12:20–12:30 | Counter-fitting Word Vectors to Linguistic Constraints Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Lina M. Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen and Steve Young |
| 12:30–2:00 | Lunch break |
| 2:00–3:30 | Session 2 |
| 2A. Language and Vision | |
| 2:00–2:20 | Grounded Semantic Role Labeling Shaohua Yang, Qiaozi Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu and Joyce Y. Chai |
| 2:20–2:40 | Black Holes and White Rabbits: Metaphor Identification with Visual Features Ekaterina Shutova, Douwe Kiela and Jean Maillard |
| 2:40–3:00 | Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar and Balaraman Ravindran |
| 3:00–3:20 | Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings Spandana Gella, Mirella Lapata and Frank Keller |
| 3:20–3:30 | Stating the Obvious: Extracting Visual Common Sense Knowledge Mark Yatskar, Vicente Ordonez and Ali Farhadi |
| 2B. Parsing | |
| 2:00–2:20 | Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States [TACL] Ashish Vaswani and Kenji Sagae |
| 2:20–2:40 | Recurrent Neural Network Grammars Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros and Noah A. Smith |
| 2:40–3:00 | Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks Wenduan Xu, Michael Auli and Stephen Clark |
| 3:00–3:20 | LSTM CCG Parsing Mike Lewis, Kenton Lee and Luke Zettlemoyer |
| 3:20–3:30 | Supertagging With LSTMs Ashish Vaswani, Yonatan Bisk, Kenji Sagae and Ryan Musa |
| 2C. Named Entity Recognition | |
| 2:00–2:20 | An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition Wencan Luo and Fan Yang |
| 2:20–2:40 | Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight and Daniel Marcu |
| 2:40–3:00 | Neural Architectures for Named Entity Recognition Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami and Chris Dyer |
| 3:00–3:20 | Dynamic Feature Induction: The Last Gist to the State-of-the-Art Jinho D. Choi |
| 3:20–3:30 | Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer Eunsuk Yang, Young-Bum Kim, Ruhi Sarikaya and Yu-Seop Kim |
| 3:30–4:00 | Coffee break, Pavilion |
| 4:00–5:00 | Session 3 |
| 3A. Event detection | |
| 4:00–4:20 | Joint Extraction of Events and Entities within a Document Context Bishan Yang and Tom M. Mitchell |
| 4:20–4:40 | A Hierarchical Distance-dependent Bayesian Model for Event Coreference Resolution [TACL] Bishan Yang, Claire Cardie, and Peter Frazier |
| 4:40–5:00 | Joint Event Extraction via Recurrent Neural Networks Thien Huu Nguyen, Kyunghyun Cho and Ralph Grishman |
| 3B. Language Models | |
| 4:00–4:20 | Top-down Tree Long Short-Term Memory Networks Xingxing Zhang, Liang Lu and Mirella Lapata |
| 4:20–4:40 | Recurrent Memory Networks for Language Modeling Ke Tran, Arianna Bisazza and Christof Monz |
| 4:40–5:00 | A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models Yangfeng Ji, Gholamreza Haffari and Jacob Eisenstein |
| 3C. Non Literal Language | |
| 4:00–4:20 | Questioning Arbitrariness in Language: a Data-Driven Study of Conventional Iconicity Ekaterina Abramova and Raquel Fernández |
| 4:20–4:40 | Distinguishing Literal and Non-Literal Usage of German Particle Verbs Maximilian Köper and Sabine Schulte im Walde |
| 4:40–5:00 | Phrasal Substitution of Idiomatic Expressions Changsheng Liu and Rebecca Hwa |
| 5:00–5:15 | Break |
| 5:15–6:00 | One Minute Madness |
| 6:00–8:00 | Posters and Dinner |
| Posters | |
| Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks Yangtuo Peng and Hui Jiang | |
| Grammatical error correction using neural machine translation Zheng Yuan and Ted Briscoe | |
| Multimodal Semantic Learning from Child-Directed Input Angeliki Lazaridou, Grzegorz Chrupała, Raquel Fernández and Marco Baroni | |
| Recurrent Support Vector Machines For Slot Tagging In Spoken Language Understanding Yangyang Shi, Kaisheng Yao, Hu Chen, Dong Yu, Yi-Cheng Pan and Mei-Yuh Hwang | |
| Expectation-Regulated Neural Model for Event Mention Extraction Ching-Yun Chang, Zhiyang Teng and Yue Zhang | |
| Agreement on Target-bidirectional Neural Machine Translation Lemao Liu, Masao Utiyama, Andrew Finch and Eiichiro Sumita | |
| Psycholinguistic Features for Deceptive Role Detection in Werewolf Codruta Girlea, Roxana Girju and Eyal Amir | |
| Individual Variation in the Choice of Referential Form Thiago Castro Ferreira, Emiel Krahmer and Sander Wubben | |
| Joint Learning Templates and Slots for Event Schema Induction Lei Sha, Sujian Li, Baobao Chang and Zhifang Sui | |
| Inferring Psycholinguistic Properties of Words Gustavo Paetzold and Lucia Specia | |
| Intra-Topic Variability Normalization based on Linear Projection for Topic Classification Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang and Yu Hu | |
| Shift-Reduce CCG Parsing using Neural Network Models Bharat Ram Ambati, Tejaswini Deoskar and Mark Steedman | |
| Online Multilingual Topic Models with Multi-Level Hyperpriors Kriste Krstovski, David Smith and Michael J. Kurtz | |
| STransE: a novel embedding model of entities and relationships in knowledge bases Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu and Mark Johnson | |
| An Unsupervised Model of Orthographic Variation for Historical Document Transcription Dan Garrette and Hannah Alpert-Abrams | |
| Bidirectional RNN for Medical Event Detection in Electronic Health Records Abhyuday N Jagannatha and Hong Yu | |
| The Sensitivity of Topic Coherence Evaluation to Topic Cardinality Jey Han Lau and Timothy Baldwin | |
| Transition-Based Syntactic Linearization with Lookahead Features Ratish Puduppully, Yue Zhang and Manish Shrivastava | |
| A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output Hyun Kim and Jong-Hyeok Lee | |
| Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives Roy Schwartz, Roi Reichart and Ari Rappoport | |
| Breaking the Closed World Assumption in Text Classification Geli Fei and Bing Liu | |
| Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks Ji Young Lee and Franck Dernoncourt | |
| Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence Gakuto Kurata, Bing Xiang and Bowen Zhou | |
| Learning Distributed Word Representations For Bidirectional LSTM Recurrent Neural Network Peilu Wang, Yao Qian, Frank K. Soong, Lei He and Hai Zhao | |
| Combining Recurrent and Convolutional Neural Networks for Relation Classification Ngoc Thang Vu, Heike Adel, Pankaj Gupta and Hinrich Schütze | |
| Building Chinese Affective Resources in Valence-Arousal Dimensions Liang-Chih Yu, Lung-Hao Lee, Shuai Hao, Jin Wang, Yunchao He, Jun Hu, K. Robert Lai and Xuejie Zhang | |
| Improving event prediction by representing script participants Simon Ahrendt and Vera Demberg | |
| Structured Prediction with Output Embeddings for Semantic Image Annotation Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra and Francesc Moreno-Noguer | |
| Large-scale Multitask Learning for Machine Translation Quality Estimation Kashif Shah and Lucia Specia | |
| Conversational Markers of Constructive Discussions Vlad Niculae and Cristian Danescu-Niculescu-Mizil | |
| Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps Luana Bulat, Douwe Kiela and Stephen Clark | |
| Cross-lingual Wikification Using Multilingual Embeddings Chen-Tse Tsai and Dan Roth | |
| Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks Rishabh Mehrotra, Prasanta Bhattacharya and Emine Yilmaz | |
| 6:00–8:00 | System Demonstrations %room Pavilion |
| rstWeb - A Browser-based Annotation Interface for Rhetorical Structure Theory and Discourse Relations Amir Zeldes | |
| Instant Feedback for Increasing the Presence of Solutions in Peer Reviews Huy Nguyen, Wenting Xiong and Diane Litman | |
| Farasa: A Fast and Furious Segmenter for Arabic Ahmed Abdelali, Kareem Darwish, Nadir Durrani and Hamdy Mubarak | |
| iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking Ahmed Abdelali, Nadir Durrani and Francisco Guzmán | |
| Linguistica 5: Unsupervised Learning of Linguistic Structure Jackson Lee and John Goldsmith | |
| TransRead: Designing a Bilingual Reading Experience with Machine Translation Technologies François Yvon, Yong Xu, Marianna Apidianaki, Clément Pillias and Pierre Cubaud | |
| New Dimensions in Testimony Demonstration Ron Artstein, Alesia Gainer, Kallirroi Georgila, Anton Leuski, Ari Shapiro and David Traum | |
| ArgRewrite: A Web-based Revision Assistant for Argumentative Writings Fan Zhang, Rebecca Hwa, Diane Litman and Homa B. Hashemi | |
| Scaling Up Word Clustering Jon Dehdari, Liling Tan and Josef van Genabith | |
| Task Completion Platform A self-serve multi-domain goal oriented dialogue platform: Paul Crook, Alex Marin, Vipul Agarwal, Khushboo Aggarwal, Tasos Anastasakos, Ravi Bikkula, Daniel Boies, Asli Celikyilmaz, Senthilkumar Chandramohan, Zhaleh Feizollahi, Roman Holenstein, Minwoo Jeong, Omar Khan, Young-Bum Kim, Elizabeth Krawczyk, Xiaohu Liu, Danko Panic, Vasiliy Radostev, Nikhil Ramesh, Jean-Phillipe Robichaud, Alexandre Rochette, Logan Stromberg and Ruhi Sarikaya | |
| Student Workshop Posters | |
| An End-to-end Approach to Learning Semantic Frames with Feedforward Neural Network Yukun Feng, Yipei Xu and Dong Yu | |
| Analogy-based detection of morphological and semantic relations with word embeddings what works and what doesn’t: Anna Gladkova, Aleksandr Drozd and Satoshi Matsuoka | |
| Argument Identification in Chinese Editorials Marisa Chow | |
| Automatic tagging and retrieval of E-Commerce products based on visual features Vasu Sharma and Harish Karnick | |
| Combining syntactic patterns and Wikipedia’s hierarchy of hyperlinks to extract relations: The case of meronymy extraction Debela Tesfaye Gemechu, Michael Zock and Solomon Teferra | |
| Cross-Lingual Question Answering Using Profile HMM & Unified Semantic Space Amir Pouran Ben Veyseh | |
| Data-driven Paraphrasing and Stylistic Harmonization Gerold Hintz | |
| Detecting "Smart" Spammers on Social Network A Topic Model Approach: Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti and Jianwei Lu | |
| Developing language technology tools and resources for a resource-poor language: Sindhi Raveesh Motlani | |
Tuesday, June 14, 2016 | |
| 7:30–8:45 | Breakfast, Pavilion |
| 9:00–10:30 | Session 4 |
| 4A. Semantic Parsing | |
| 9:00–9:20 | Transforming Dependency Structures to Logical Forms for Semantic Parsing [TACL] Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, and Mirella Lapata |
| 9:20–9:40 | Imitation Learning of Agenda-based Semantic Parsers [TACL] Jonathan Berant and Percy Liang |
| 9:40–10:00 | Probabilistic Models for Learning a Semantic Parser Lexicon Jayant Krishnamurthy |
| 10:00–10:20 | Semantic Parsing of Ambiguous Input through Paraphrasing and Verification [TACL] Philip Arthur, Graham Neubig, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura |
| 10:20–10:30 | Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods Martin Riedl and Chris Biemann |
| 4B. Morphology and Phonology | |
| 9:00–9:20 | Weighting Finite-State Transductions With Neural Context Pushpendre Rastogi, Ryan Cotterell and Jason Eisner |
| 9:20–9:40 | Morphological Inflection Generation Using Character Sequence to Sequence Learning Manaal Faruqui, Yulia Tsvetkov, Graham Neubig and Chris Dyer |
| 9:40–10:00 | Towards Unsupervised and Language-independent Compound Splitting using Inflectional Morphological Transformations Patrick Ziering and Lonneke van der Plas |
| 10:00–10:20 | Phonological Pun-derstanding Aaron Jaech, Rik Koncel-Kedziorski and Mari Ostendorf |
| 10:20–10:30 | A Joint Model of Orthography and Morphological Segmentation Ryan Cotterell, Tim Vieira and Hinrich Schütze |
| 4C. Various | |
| 9:00–9:20 | Syntactic Parsing of Web Queries with Question Intent Yuval Pinter, Roi Reichart and Idan Szpektor |
| 9:20–9:40 | Visualizing and Understanding Neural Models in NLP Jiwei Li, Xinlei Chen, Eduard Hovy and Dan Jurafsky |
| 9:40–10:00 | Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification Aditya Mogadala and Achim Rettinger |
| 10:00–10:20 | Joint Learning with Global Inference for Comment Classification in Community Question Answering Shafiq Joty, Lluís Màrquez and Preslav Nakov |
| 10:20–10:30 | Weak Semi-Markov CRFs for Noun Phrase Chunking in Informal Text Aldrian Obaja Muis and Wei Lu |
| 10:30–11:00 | Coffee break, Pavilion |
| 11:00–12:30 | Session 5 |
| 5A. Generation | |
| 11:00–11:20 | What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment Hongyuan Mei, Mohit Bansal and Matthew R. Walter |
| 11:20–11:40 | Generation from Abstract Meaning Representation using Tree Transducers Jeffrey Flanigan, Chris Dyer, Noah A. Smith and Jaime Carbonell |
| 11:40–12:00 | A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap Carolin Haas and Stefan Riezler |
| 12:00–12:20 | Natural Language Communication with Robots Yonatan Bisk, Deniz Yuret and Daniel Marcu |
| 12:20–12:30 | Inter-document Contextual Language model Quan Hung Tran, Ingrid Zukerman and Gholamreza Haffari |
| 5B. Sentiment | |
| 11:00–11:20 | Ultradense Word Embeddings by Orthogonal Transformation Sascha Rothe, Sebastian Ebert and Hinrich Schütze |
| 11:20–11:40 | Separating Actor-View from Speaker-View Opinion Expressions using Linguistic Features Michael Wiegand, Marc Schulder and Josef Ruppenhofer |
| 11:40–12:00 | Clustering for Simultaneous Extraction of Aspects and Features from Reviews Lu Chen, Justin Martineau, Doreen Cheng and Amit Sheth |
| 12:00–12:20 | Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach Michael Wiegand, Christine Bocionek and Josef Ruppenhofer |
| 12:20–12:30 | Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling Svetlana Kiritchenko and Saif M. Mohammad |
| 5C. Knowledge Acquisition | |
| 11:00–11:20 | Concept Grounding to Multiple Knowledge Bases via Indirect Supervision [TACL] Chen-Tse Tsai and Dan Roth |
| 11:20–11:40 | Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua Derry Tanti Wijaya and Tom M. Mitchell |
| 11:40–12:00 | Comparing Convolutional Neural Networks to Traditional Models for Slot Filling Heike Adel, Benjamin Roth and Hinrich Schütze |
| 12:00–12:20 | A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli and James Allen |
| 12:20–12:30 | Dynamic Entity Representation with Max-pooling Improves Machine Reading Sosuke Kobayashi, Ran Tian, Naoaki Okazaki and Kentaro Inui |
| 12:30–1:15 | Lunch |
| 1:15–2:15 | Panel Discussion: How Will Deep Learning Change Computational Linguistics? |
| 2:30–3:30 | Session 6 |
| 6A. Machine Translation II | |
| 2:30–2:50 | Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite and Bill Byrne |
| 2:50–3:10 | Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism Orhan Firat, Kyunghyun Cho and Yoshua Bengio |
| 3:10–3:30 | Incorporating Structural Alignment Biases into an Attentional Neural Translation Model Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, Chris Dyer and Gholamreza Haffari |
| 6B. Relation Extraction | |
| 2:30–2:50 | Multilingual Relation Extraction using Compositional Universal Schema Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth and Andrew McCallum |
| 2:50–3:10 | Effective Crowd Annotation for Relation Extraction Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling and Daniel S. Weld |
| 3:10–3:30 | A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations Hee-Geun Yoon, Hyun-Je Song, Seong-Bae Park and Se-Young Park |
| 6C. Semantic Similarity | |
| 2:30–2:50 | DAG-Structured Long Short-Term Memory for Semantic Compositionality Xiaodan Zhu, Parinaz Sobhani and Hongyu Guo |
| 2:50–3:10 | Bayesian Supervised Domain Adaptation for Short Text Similarity Md Arafat Sultan, Jordan Boyd-Graber and Tamara Sumner |
| 3:10–3:30 | Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement Hua He and Jimmy Lin |
| 3:30–4:00 | Break |
| 4:00–5:00 | Session 7 |
| 7A. Machine Translation III | |
| 4:00–4:20 | An Attentional Model for Speech Translation Without Transcription Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird and Trevor Cohn |
| 4:20–4:40 | Information Density and Quality Estimation Features as Translationese Indicators for Human Translation Classification Raphael Rubino, Ekaterina Lapshinova-Koltunski and Josef van Genabith |
| 4:40–4:50 | Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation He He, Jordan Boyd-Graber and Hal Daumé III |
| 4:50–5:00 | LSTM Neural Reordering Feature for Statistical Machine Translation Yiming Cui, Shijin Wang and Jianfeng Li |
| 7B. Anaphora Resolution | |
| 4:00–4:20 | A Novel Approach to Dropped Pronoun Translation Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way and Qun Liu |
| 4:20–4:40 | Learning Global Features for Coreference Resolution Sam Wiseman, Alexander M. Rush and Stuart M. Shieber |
| 4:40–4:50 | Search Space Pruning: A Simple Solution for Better Coreference Resolvers Nafise Sadat Moosavi and Michael Strube |
| 4:50–5:00 | Unsupervised Ranking Model for Entity Coreference Resolution Xuezhe Ma, Zhengzhong Liu and Eduard Hovy |
| 7C. Word Embeddings I | |
| 4:00–4:20 | Embedding Lexical Features via Low-Rank Tensors Mo Yu, Mark Dredze, Raman Arora and Matthew R. Gormley |
| 4:20–4:40 | The Role of Context Types and Dimensionality in Learning Word Embeddings Oren Melamud, David McClosky, Siddharth Patwardhan and Mohit Bansal |
| 4:40–5:00 | Improve Chinese Word Embeddings by Exploiting Internal Structure Jian Xu, Jiawei Liu, Liangang Zhang, Zhengyu Li and Huanhuan Chen |
| 5:00–5:15 | Break |
| 5:15–6:00 | One-Minute Madness |
| 6:00–8:00 | Posters, Demos, and Snacks |
| Posters | |
| Assessing Relative Sentence Complexity using an Incremental CCG Parser Bharat Ram Ambati, Siva Reddy and Mark Steedman | |
| Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing Ophélie Lacroix, Lauriane Aufrant, Guillaume Wisniewski and François Yvon | |
| Geolocation for Twitter: Timing Matters Mark Dredze, Miles Osborne and Prabhanjan Kambadur | |
| Fast and Easy Short Answer Grading with High Accuracy Md Arafat Sultan, Cristobal Salazar and Tamara Sumner | |
| Interlocking Phrases in Phrase-based Statistical Machine Translation Ye Kyaw Thu, Andrew Finch and Eiichiro Sumita | |
| Eyes Don’t Lie: Predicting Machine Translation Quality Using Eye Movement Hassan Sajjad, Francisco Guzmán, Nadir Durrani, Ahmed Abdelali, Houda Bouamor, Irina Temnikova and Stephan Vogel | |
| Making Dependency Labeling Simple, Fast and Accurate Tianxiao Shen, Tao Lei and Regina Barzilay | |
| Deep Lexical Segmentation and Syntactic Parsing in the Easy-First Dependency Framework Matthieu Constant, Joseph Le Roux and Nadi Tomeh | |
| Sentiment Composition of Words with Opposing Polarities Svetlana Kiritchenko and Saif M. Mohammad | |
| Learning to Recognize Ancillary Information for Automatic Paraphrase Identification Simone Filice and Alessandro Moschitti | |
| Learning a POS tagger for AAVE-like language Anna Jørgensen, Dirk Hovy and Anders Søgaard | |
| PIC a Different Word: A Simple Model for Lexical Substitution in Context Stephen Roller and Katrin Erk | |
| Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora Kriste Krstovski and David Smith | |
| Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation Tomoya Mizumoto and Yuji Matsumoto | |
| Patterns of Wisdom: Discourse-Level Style in Multi-Sentence Quotations Kyle Booten and Marti A. Hearst | |
| Right-truncatable Neural Word Embeddings Jun Suzuki and Masaaki Nagata | |
| MAWPS: A Math Word Problem Repository Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman and Hannaneh Hajishirzi | |
| Cross-genre Event Extraction with Knowledge Enrichment Hao Li and Heng Ji | |
| Emergent: a novel data-set for stance classification William Ferreira and Andreas Vlachos | |
| BIRA: Improved Predictive Exchange Word Clustering Jon Dehdari, Liling Tan and Josef van Genabith | |
| Integrating Morphological Desegmentation into Phrase-based Decoding Mohammad Salameh, Colin Cherry and Grzegorz Kondrak | |
| The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection Junyi Jessy Li and Ani Nenkova | |
| Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment Yogarshi Vyas and Marine Carpuat | |
| Automatic Prediction of Linguistic Decline in Writings of Subjects with Degenerative Dementia Davy Weissenbacher, Travis A. Johnson, Laura Wojtulewicz, Amylou Dueck, Dona Locke, Richard Caselli and Graciela Gonzalez | |
| Consensus Maximization Fusion of Probabilistic Information Extractors Miguel Rodríguez, Sean Goldberg and Daisy Zhe Wang | |
| Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies Barret Zoph, Ashish Vaswani, Jonathan May and Kevin Knight | |
| Automatically Inferring Implicit Properties in Similes Ashequl Qadir, Ellen Riloff and Marilyn A. Walker | |
| Visual Storytelling Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley and Margaret Mitchell | |
| PRIMT: A Pick-Revise Framework for Interactive Machine Translation Shanbo Cheng, Shujian Huang, Huadong Chen, Xin-Yu Dai and Jiajun Chen | |
| Incorporating Side Information into Recurrent Neural Network Language Models Cong Duy Vu Hoang, Trevor Cohn and Gholamreza Haffari | |
| Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks Matthew Francis-Landau, Greg Durrett and Dan Klein | |
| $K$-Embeddings: Learning Conceptual Embeddings for Words using Context Thuy Vu and D. Stott Parker | |
| Learning Composition Models for Phrase Embeddings [TACL] Mo Yu and Mark Dredze | |
| System Demonstrations | |
| Illinois Math Solver: Math Reasoning on the Web Subhro Roy and Dan Roth | |
| LingoTurk: managing crowdsourced tasks for psycholinguistics Florian Pusse, Asad Sayeed and Vera Demberg | |
| Sentential Paraphrasing as Black-Box Machine Translation Courtney Napoles, Chris Callison-Burch and Matt Post | |
| A Tag-based English Math Word Problem Solver with Understanding, Reasoning and Explanation Chao-Chun Liang, Kuang-Yi Hsu, Chien-Tsung Huang, Chung-Min Li, Shen-Yu Miao and Keh-Yih Su | |
| Cross-media Event Extraction and Recommendation Di Lu, Clare Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-fu Chang, Jiawei Han, William Wallace, James Hendler, Mei Si and Lance Kaplan | |
| SODA: Service Oriented Domain Adaptation Architecture for Microblog Categorization Himanshu Sharad Bhatt, Sandipan Dandapat, Peddamuthu Balaji, Shourya Roy, Sharmistha Jat and Deepali Semwal | |
| Lecture Translator - Speech translation framework for simultaneous lecture translation Markus Müller, Thai Son Nguyen, Jan Niehues, Eunah Cho, Bastian Krüger, Thanh-Le Ha, Kevin Kilgour, Matthias Sperber, Mohammed Mediani, Sebastian Stüker and Alex Waibel | |
| Zara The Supergirl: An Empathetic Personality Recognition System Pascale Fung, Anik Dey, Farhad Bin Siddique, Ruixi Lin, Yang Yang, Yan Wan and Ho Yin Ricky Chan | |
| Kathaa: A Visual Programming Framework for NLP Applications Sharada Prasanna Mohanty, Nehal J Wani, Manish Srivastava and Dipti Misra Sharma | |
| Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Ribeiro, Sameer Singh and Carlos Guestrin | |
| Student Workshop Posters | |
| Effects of Communicative Pressures on Novice L2 Learners’ Use of Optional Formal Devices Yoav Binoun | |
| Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline Rohit Jain and Dipti Sharma | |
| Exploring Fine-Grained Emotion Detection in Tweets Jasy Suet Yan Liew and Howard Turtle | |
| Extraction of Bilingual Technical Terms for Chinese-Japanese Patent Translation Wei Yang, Jinghui Yan and Yves Lepage | |
| Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter Zeerak Waseem and Dirk Hovy | |
| Non-decreasing Sub-modular Function for Comprehensible Summarization Litton JKurisinkel, Pruthwik Mishra, Vigneshwaran Muralidaran, Vasudeva Varma and Dipti Misra Sharma | |
| Phylogenetic simulations over constraint-based grammar formalisms Andrew Lamont and Jonathan Washington | |
| Question Answering over Knowledge Base using Weakly Supervised Memory Networks Sarthak Jain | |
| Using Related Languages to Enhance Statistical Language Models Anna Currey, Alina Karakanta and Jon Dehdari | |
| 8:00–10:00 | Bayview Lawn Beach Social |
Wednesday, June 15, 2016 | |
| 7:30–8:45 | Breakfast, Pavilion |
| 9:00–10:15 | Invited talk: "Human-based evaluations of language generation systems" Ehud Reiter |
| 10:15–10:45 | Coffee break, Pavilion |
| 10:45–12:15 | Session 8 |
| 8A. Question Answering | |
| 10:45–11:05 | A Joint Model for Answer Sentence Ranking and Answer Extraction [TACL] Md Arafat Sultan, Vittorio Castelli, and Radu Florian |
| 11:05–11:25 | Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking Kateryna Tymoshenko, Daniele Bonadiman and Alessandro Moschitti |
| 11:25–11:45 | Semi-supervised Question Retrieval with Gated Convolutions Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Kateryna Tymoshenko, Alessandro Moschitti and Lluís Màrquez |
| 11:45–12:05 | Parsing Algebraic Word Problems into Equations [TACL] Rik Koncel-Kedziorski, Hannaneh Hajishirzi, Ashish Sabharwal, Oren Etzioni, and Siena Dumas Ang |
| 12:05–12:15 | This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering Dasha Bogdanova and Jennifer Foster |
| 8B. Multilingual Processing | |
| 10:45–11:05 | Multilingual Language Processing From Bytes Dan Gillick, Cliff Brunk, Oriol Vinyals and Amarnag Subramanya |
| 11:05–11:25 | Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings Yuan Zhang, David Gaddy, Regina Barzilay and Tommi Jaakkola |
| 11:25–11:45 | Part-of-Speech Tagging for Historical English Yi Yang and Jacob Eisenstein |
| 11:45–12:05 | Statistical Modeling of Creole Genesis Yugo Murawaki |
| 12:05–12:15 | Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text Arnav Sharma, Sakshi Gupta, Raveesh Motlani, Piyush Bansal, Manish Shrivastava, Radhika Mamidi and Dipti M. Sharma |
| 8C. Word Embeddings II | |
| 10:45–11:05 | Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders Simon Šuster, Ivan Titov and Gertjan van Noord |
| 11:05–11:25 | Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W Black, Lori Levin and Chris Dyer |
| 11:25–11:45 | Learning Distributed Representations of Sentences from Unlabelled Data Felix Hill, Kyunghyun Cho and Anna Korhonen |
| 11:45–12:05 | Learning to Understand Phrases by Embedding the Dictionary [TACL] Felix Hill, KyungHyun Cho, Anna Korhonen, and Yoshua Bengio |
| 12:05–12:15 | Retrofitting Sense-Specific Word Vectors Using Parallel Text Allyson Ettinger, Philip Resnik and Marine Carpuat |
| 12:15–1:00 | Lunch |
| 1:00–2:00 | NAACL business meeting, Grande Ballroom A |
| 2:15–3:45 | Session 9 |
| 9A. Argumentation and Discourse | |
| 2:15–2:35 | End-to-End Argumentation Mining in Student Essays Isaac Persing and Vincent Ng |
| 2:35–2:55 | Cross-Domain Mining of Argumentative Text through Distant Supervision Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler and Benno Stein |
| 2:55–3:15 | A Study of the Impact of Persuasive Argumentation in Political Debates Amparo Elizabeth Cano-Basave and Yulan He |
| 3:15–3:35 | Lexical Coherence Graph Modeling Using Word Embeddings Mohsen Mesgar and Michael Strube |
| 3:35–3:45 | Using Context to Predict the Purpose of Argumentative Writing Revisions Fan Zhang and Diane Litman |
| 9B. Misc Semantics | |
| 2:15–2:35 | Automatic Generation and Scoring of Positive Interpretations from Negated Statements Eduardo Blanco and Zahra Sarabi |
| 2:35–2:55 | Learning Natural Language Inference with LSTM Shuohang Wang and Jing Jiang |
| 2:55–3:15 | Activity Modeling in Email Ashequl Qadir, Michael Gamon, Patrick Pantel and Ahmed Hassan Awadallah |
| 3:15–3:35 | Clustering Paraphrases by Word Sense Anne Cocos and Chris Callison-Burch |
| 3:35–3:45 | Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling Niko Schenk and Christian Chiarcos |
| 9C. Text Categorization | |
| 2:15–2:35 | Hierarchical Attention Networks for Document Classification Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola and Eduard Hovy |
| 2:35–2:55 | Dependency Based Embeddings for Sentence Classification Tasks Alexandros Komninos and Suresh Manandhar |
| 2:55–3:15 | Deep LSTM based Feature Mapping for Query Classification Yangyang Shi, Kaisheng Yao, Le Tian and Daxin Jiang |
| 3:15–3:35 | Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents Rui Zhang, Honglak Lee and Dragomir R. Radev |
| 3:35–3:45 | MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification Ye Zhang, Stephen Roller and Byron C. Wallace |
| 3:45–4:15 | Coffee break, Pavilion |
| 4:15–5:45 | Best paper awards |
| 4:15–4:35 | Improving sentence compression by learning to predict gaze Sigrid Klerke, Yoav Goldberg and Anders Søgaard |
| 4:35–5:05 | Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber and Hal Daumé III |
| 5:05–5:35 | Learning to Compose Neural Networks for Question Answering Jacob Andreas, Marcus Rohrbach, Trevor Darrell and Dan Klein |
| 5:35–5:45 | Closing remarks |