timelocationinfo

Welcome! For the first time, the program page will allow conference attendees to choose the sessions (and individual papers and posters) they want to attend and generate a PDF of their customized schedule!

This page should work on modern browsers on all operating systems (Internet Explorer <= v10 will likely not work). On mobile devices, Safari on iOS and Chrome on Android are the only browsers known to work. Please read the instructions below. For the best experience, use a non-mobile device.

Instructions:
  • Click/Tap on the title of a session to expand and collapse the session.
  • Click/Tap on a tutorial/paper/poster to select it, click/tap again to unselect it.
  • You can select more than one paper for a time slot.
  • Click on the Generate PDF button at the bottom of the page to generate the PDF for your selected talks.
  • To expand all parallel sessions at the same time, hold down the Shift key and click on any of the sessions.
  • Shift-clicking is contextual, i.e., if there are any collapsed sessions, it will expand all of them. If all of the sessions are expanded, Shift-clicking will collapse all of them.
  • Clicking/Tapping on any of the location buttons will show the conference floor plan.
  • When you hover on a paper for a time slot, it is highlighted in yellow and its conflicting papers are highlighted in red for an easier comparison. This only works on non-mobile devices where parallel sessions are displayed adjacent to each other.
  • If papers have already been selected for a time slot, hovering on them or on papers that conflict with them highlights them in green.
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  • The generated PDF might have some blank rows at the bottom as padding since the PDF generation has been programmed to avoid rows being split across pages.
  • While saving the generated PDF on mobile devices, its name cannot be changed.
  • If you notice any errors, encounter any problems, or have any suggestions, please submit them here. You will need a GitHub account.
Notes:
  • If you just want a list of all accepted papers without any timing information, please refer to this page.
  • This page does not show any paper/poster abstracts. To see the abstracts, please refer to this page.
  • This page also does not show workshops or co-located events, which can be found here.
Sunday, July 30
Morning Tutorials
9:30 AM – 12:30 PM

[T1] Natural Language Processing for Precision Medicine. Hoifung Poon, Chris Quirk, Kristina Toutanova and Scott Wen-tau Yih.
Mackenzie
[T2] Multimodal Machine Learning. Louis-Philippe Morency and Tadas Baltrusaitis.
Salon 1
[T3] Deep Learning for Semantic Composition. Xiaodan Zhu and Edward Grefenstette.
Salons A/B
Lunch
12:30 PM – 2:00 PM
Afternoon Tutorials
2:00 PM – 5:30 PM

[T4] Deep Learning for Dialogue Systems. Yun-Nung Chen, Asli Celikyilmaz and Dilek Hakkani-Tur.
Salons A/B
[T5] Beyond Words: Deep Learning for Multi-word Expressions and Collocations. Valia Kordoni.
Salon 1
[T6] Making Better Use of the Crowd. Jennifer Wortman Vaughan.
Mackenzie
Welcome Reception
6:00 PM – 9:00 PM
Bayshore Grand Ballroom

Catch up with your colleagues at the Welcome Reception! It will be held immediately following the tutorials at the Westin Bayshore Hotel, Sunday, July 30th, in the Bayshore Grand Ballroom (the conference venue). Refreshments and a light dinner will be provided and a cash bar will be available.

Monday, July 31
Breakfast
7:30 AM – 8:45 AM
Welcome Session / Presidential Address
Chris Callison-Burch, Regina Barzilay, Min-Yen Kan and Jokim Nivre
9:00 AM – 10:00 AM
Bayshore Grande Ballroom

Computational linguistics is a booming field and our association is flourishing with it. As our conferences grow larger and the pace of publishing quickens, there is a constant need to reflect on strategies that will allow us to prosper and grow even stronger in the future. In my presidential address, I will focus on three topics that I think require our attention. The first is equity and diversity, where the ACL executive committee has recently launched a number of actions intended to improve the inclusiveness and diversity of our community, but where there is clearly a need to do more. The second topic is publishing and reviewing, where the landscape is changing very quickly and our current system is starting to strain under the sheer volume of submissions. In particular, there has been an active discussion recently about the pros and cons of preprint publishing and the way it interacts with our standard model for double-blind reviewing. On this topic, I will present the results of a large-scale survey organized by the ACL executive committee to learn more about current practices and views in our community, a survey that will be followed up by a panel and discussion at the ACL business meeting later in the week. The third and final topic is good science and what we can do to promote scientific methodology and research ethics, which is becoming increasingly important in a world where the role of science in society cannot be taken for granted.

Break
10:00 AM – 10:30 AM
Information Extraction 1
10:30 AM – 12:00 PM
Salons B/C

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Chair: Zornitsa Kozareva
10:30-10:48 Adversarial Multi-task Learning for Text Classification. Pengfei Liu, Xipeng Qiu and Xuanjing Huang
10:49-11:07 Neural End-to-End Learning for Computational Argumentation Mining. Steffen Eger, Johannes Daxenberger and Iryna Gurevych
11:08-11:26 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus and Ni Lao
11:27-11:45 Neural Relation Extraction with Multi-lingual Attention. Yankai Lin, Zhiyuan Liu and Maosong Sun
11:46-11:58 Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths. Fei Cheng and Yusuke Miyao
Semantics 1
10:30 AM – 12:00 PM
Salons E/F

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Chair: Preslav Nakov
10:30-10:48 Learning Structured Natural Language Representations for Semantic Parsing. Jianpeng Cheng, Siva Reddy, Vijay Saraswat and Mirella Lapata
10:49-11:07 Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. Ivan Vulić, Nikola Mrkšić, Roi Reichart, Diarmuid Ó Séaghdha, Steve Young and Anna Korhonen
11:08-11:26 Skip-Gram – Zipf + Uniform = Vector Additivity. Alex Gittens, Dimitris Achlioptas and Michael W. Mahoney
11:27-11:45 The State of the Art in Semantic Representation. Omri Abend and Ari Rappoport
11:46-11:58 AMR-to-text Generation with Synchronous Node Replacement Grammar. Linfeng Song, Xiaochang Peng, Yue Zhang, Zhiguo Wang and Daniel Gildea
Discourse 1
10:30 AM – 12:00 PM
Salon D

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Chair: Yangfeng Ji
10:30-10:48 Joint Learning for Coreference Resolution. Jing Lu and Vincent Ng
10:49-11:07 Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. Ting Liu, Yiming Cui, Qingyu Yin, Wei-Nan Zhang, Shijin Wang and Guoping Hu
11:08-11:26 Discourse Mode Identification in Essays. Wei Song, Dong Wang, Ruiji Fu, Lizhen Liu, Ting Liu and Guoping Hu
11:27-11:45 [TACL] Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes. Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin
11:46-11:58 Lexical Features in Coreference Resolution: To be Used With Caution. Nafise Sadat Moosavi and Michael Strube
Machine Translation 1
10:30 AM – 12:00 PM
Salon 1

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Chair: Haitao Mi
10:30-10:48 A Convolutional Encoder Model for Neural Machine Translation. Jonas Gehring, Michael Auli, David Grangier and Yann Dauphin
10:49-11:07 Deep Neural Machine Translation with Linear Associative Unit. Mingxuan Wang, Zhengdong Lu, Jie Zhou and Qun Liu
11:08-11:26 [TACL] A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit. Yin-Wen Chang and Michael Collins
11:27-11:45 [TACL] Context Gates for Neural Machine Translation. Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu and Hang Li
11:46-11:58 Alternative Objective Functions for Training MT Evaluation Metrics. Miloš Stanojević and Khalil Sima’an
Generation
10:30 AM – 12:00 PM
Salons 2/3

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Chair: Alexander Rush
10:30-10:48 Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi and Luke Zettlemoyer
10:49-11:07 Program Induction for Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. Wang Ling, Dani Yogatama, Chris Dyer and Phil Blunsom
11:08-11:26 Automatically Generating Rhythmic Verse with Neural Networks. Jack Hopkins and Douwe Kiela
11:27-11:45 Creating Training Corpora for Micro-Planners. Claire Gardent, Anastasia Shimorina, Shashi Narayan and Laura Perez-Beltrachini
11:46-11:58 A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments. Maxime Peyrard and Judith Eckle-Kohler
Lunch
12:00 PM – 1:40 PM
Question Answering
1:40 PM – 3:15 PM
Salons B/C

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Chair: Alessandro Moschitti
1:40-1:58 Gated Self-Matching Networks for Reading Comprehension and Question Answering. Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang and Ming Zhou
1:59-2:17 Generating Natural Answer by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning. Shizhu He, Cao Liu, Kang Liu and Jun Zhao
2:18-2:36 Coarse-to-Fine Question Answering for Long Documents. Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste and Jonathan Berant
2:37-2:55 An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu and Jun Zhao
2:56-3:14 [TACL] Domain-Targeted, High Precision Knowledge Extraction. Bhavana Dalvi, Niket Tandon, Peter Clark
Vision 1
1:40 PM – 3:15 PM
Salons E/F

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Chair: Mohit Bansal
1:40-1:58 Translating Neuralese. Jacob Andreas, Anca Dragan and Dan Klein
1:59-2:17 Obtaining referential word meanings from visual and distributional information: Experiments on object naming. Sina Zarrieß and David Schlangen
2:18-2:36 FOIL it! Find One mismatch between Image and Language caption. Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto and Raffaella Bernardi
2:37-2:55 Verb Physics: Relative Physical Knowledge of Actions and Objects. Maxwell Forbes and Yejin Choi
2:56-3:14 [TACL] Visually Grounded and Textual Semantic Models Differentially Decode Brain Activity Associated with Concrete and Abstract Nouns. Andrew J. Anderson, Douwe Kiela, Stephen Clark and Massimo Poesio
Syntax 1
1:40 PM – 3:15 PM
Salon D

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Chair: Alexander Koller
1:40-1:58 A* CCG Parsing with a Supertag and Dependency Factored Model. Masashi Yoshikawa, Hiroshi Noji and Yuji Matsumoto
1:59-2:17 A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing. Daniel Fernández-González and Carlos Gómez-Rodríguez
2:18-2:36 Aggregating and Predicting Sequence Labels from Crowd Annotations. An Thanh Nguyen, Byron Wallace, Junyi Jessy Li, Ani Nenkova and Matthew Lease
2:37-2:55 [TACL] Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning. Dingquan Wang and Jason Eisner
2:56-3:14 [TACL] Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing. Tim Vieira, Jason Eisner
Machine Learning 1
1:40 PM – 3:15 PM
Salon 1

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Chair: Grzegorz Chrupała
1:40-1:58 Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. Chunting Zhou and Graham Neubig
1:59-2:17 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su and Lawrence Carin
2:18-2:36 Learning attention for historical text normalization by learning to pronounce. Marcel Bollmann, Joachim Bingel and Anders Søgaard
2:37-2:55 Deep Learning in Semantic Kernel Spaces. Danilo Croce, Simone Filice, Giuseppe Castellucci and Roberto Basili
2:56-3:14 Topically Driven Neural Language Model. Jey Han Lau, Timothy Baldwin and Trevor Cohn
Sentiment 1
1:40 PM – 3:15 PM
Salons 2/3

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Chair: Svitlana Volkova
1:40-1:58 Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors. Xuepeng Wang, Jun Zhao and Kang Liu
1:59-2:17 Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network. Abhijit Mishra, Kuntal Dey and Pushpak Bhattacharyya
2:18-2:36 An Unsupervised Neural Attention Model for Aspect Extraction. Ruidan He, Wee Sun Lee, Hwee Tou Ng and Daniel Dahlmeier
2:37-2:55 Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization. Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki and Kentaro Inui
2:56-3:14 [TACL] Overcoming Language Variation in Sentiment Analysis with Social Attention. Yi Yang and Jacob Eisenstein
Break
3:15 PM – 3:45 PM
Information Extraction 2
3:45 PM – 5:15 PM
Salons B/C

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Chair: Karin Verspoor
3:45-4:03 Automatically Labeled Data Generation for Large Scale Event Extraction. Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu and Jun Zhao
4:04-4:22 Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules. Xiaoshi Zhong, Aixin Sun and Erik Cambria
4:23-4:41 Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix. Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan and Dongyan Zhao
4:42-5:00 [TACL] Ordinal Common-sense Inference. Sheng Zhang, Rachel Rudinger, Kevin Duh and Benjamin Van Durme
5:01-5:13 Vector space models for evaluating semantic fluency in autism. Emily Prud’hommeaux, Jan van Santen and Douglas Gliner
Semantics 2
3:45 PM – 5:15 PM
Salons E/F

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Chair: Daniel Gildea
3:45-4:03 A Syntactic Neural Model for General-Purpose Code Generation. Pengcheng Yin and Graham Neubig
4:04-4:22 Learning bilingual word embeddings with (almost) no bilingual data. Mikel Artetxe, Gorka Labaka and Eneko Agirre
4:23-4:41 Abstract Meaning Representation Parsing using LSTM Recurrent Neural Networks. William Foland and James H. Martin
4:42-5:00 Deep Semantic Role Labeling: What Works and What’s Next. Luheng He, Kenton Lee, Mike Lewis and Luke Zettlemoyer
5:01-5:13 Neural Architectures for Multilingual Semantic Parsing. Raymond Hendy Susanto and Wei Lu
Speech / Dialogue 1
3:45 PM – 5:15 PM
Salon D

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Chair: Chiori Hori
3:45-4:03 Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access. Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed and Li Deng
4:04-4:22 Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots. Yu Wu, Wei Wu, Chen Xing, Ming Zhou and Zhoujun Li
4:23-4:41 Learning Word-Like Units from Joint Audio-Visual Analysis. David Harwath and James Glass
4:42-5:00 Joint CTC-attention End-to-end Speech Recognition. Takaaki Hori, Shinji Watanabe and John Hershey
5:01-5:13 Incorporating Uncertainty into Deep Learning for Spoken Language Assessment. Andrey Malinin, Anton Ragni, Kate Knill and Mark Gales
Multilingual
3:45 PM – 5:15 PM
Salon 1

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Chair: Bonnie Webber
3:45-4:03 Found in Translation: Reconstructing Phylogenetic Language Trees from Translations. Ella Rabinovich, Noam Ordan and Shuly Wintner
4:04-4:22 Predicting Native Language from Gaze. Yevgeni Berzak, Chie Nakamura, Suzanne Flynn and Boris Katz
4:23-4:41 [TACL] Decoding Anagrammed Texts Written in an Unknown Language and Script. Bradley Hauer and Grzegorz Kondrak
4:42-5:00 [TACL] Sparse Coding of Neural Word Embeddings for Multilingual Sequence Labeling. Gábor Berend
5:01-5:13 Incorporating Dialectal Variability for Socially Equitable Language Identification. David Jurgens, Yulia Tsvetkov and Dan Jurafsky
Phonology
3:45 PM – 5:15 PM
Salons 2/3

Choose All Remove All
Chair:
3:45-4:03 MORSE: Semantic-ally Drive-n MORpheme SEgment-er. Tarek Sakakini, Suma Bhat and Pramod Viswanath
4:04-4:22 [TACL] A Generative Model of Phonotactics. Richard Futrell, Adam Albright, Peter Graff and Timothy J. O’Donnell
4:23-4:41 [TACL] Joint Semantic Synthesis and Morphological Analysis of the Derived Word. Ryan Cotterell and Hinrich Schütze
4:42-5:00 {TACL] Unsupervised Learning of Morphological Forests. Jiaming Luo and Karthik Narasimhan
5:01-5:13 Evaluating Compound Splitters Extrinsically with Textual Entailment. Glorianna Jagfeld, Patrick Ziering and Lonneke van der Plas
Posters & Dinner
6:20 PM – 9:50 PM
Bayshore Grand Ballroom & Foyer/Stanley Park Foyer/Cypress

Long Papers

Enriching Complex Networks with Word Embeddings for Detecting Mild Cognitive Impairment from Speech Transcripts. Leandro Santos, Edilson Anselmo Corrêa Júnior, Osvaldo Oliveira Jr, Diego Amancio, Letícia Mansur and Sandra Aluísio
Adversarial Adaptation of Synthetic or Stale Data. Young-Bum Kim, Karl Stratos and Dongchan Kim
Chat Detection in Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems. Satoshi Akasaki and Nobuhiro Kaji
A Neural Local Coherence Model. Dat Tien Nguyen and Shafiq Joty
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG). Tomer Cagan, Stefan L. Frank and Reut Tsarfaty
Learning to Ask: Neural Question Generation for Reading Comprehension. Xinya Du, Junru Shao and Claire Cardie
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback. Avinesh PVS and Christian M. Meyer
Flexible and Creative Chinese Poetry Generation Using Neural Memory. Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang and Andi Zhang
Learning to Generate Market Comments from Stock Prices. Soichiro Murakami, Akihiko Watanabe, Akira Miyazawa, Keiichi Goshima, Toshihiko Yanase, Hiroya Takamura and Yusuke Miyao
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains. Liangguo Wang, Jing Jiang, Hai Leong Chieu, Hui Ong Ong, Dandan Song and Lejian Liao
Transductive Non-linear Learning for Chinese Hypernym Prediction. Chengyu Wang, Junchi Yan, Aoying Zhou and Xiaofeng He
A Constituent-Centric Neural Architecture for Reading Comprehension. Pengtao Xie and Eric Xing
Cross-lingual Distillation for Text Classification. Ruochen Xu and Yiming Yang
Understanding and Predicting Empathic Behavior in Counseling Therapy. Verónica Pérez-Rosas, Rada Mihalcea, Kenneth Resnicow, Satinder Singh and Lawrence An
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. Bishan Yang and Tom Mitchell
Prerequisite Relation Learning for Concepts in MOOCs. Liangming Pan, Chengjiang Li, Juanzi Li and Jie Tang
Unsupervised Text Segmentation Based on Native Language Characteristics. Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du and Magdalena Wolska
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. Jian Ni, Georgiana Dinu and Radu Florian
Context Sensitive Lemmatization Using Two Successive Bidirectional Gated Recurrent Networks. Abhisek Chakrabarty, Onkar Arun Pandit and Utpal Garain
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. Kazuya Kawakami, Chris Dyer and Phil Blunsom
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning. Julia Kreutzer, Artem Sokolov and Stefan Riezler
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization. Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu and Maosong Sun
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation. Jinchao Zhang, Mingxuan Wang, Qun Liu and Jie Zhou
Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search. Chris Hokamp and Qun Liu
Combating Human Trafficking with Multimodal Deep Models. Edmund Tong, Amir Zadeh, Cara Jones and Louis-Philippe Morency
MalwareTextDB: A Database for Annotated Malware Articles. Swee Kiat Lim, Aldrian Obaja Muis, Wei Lu and Chen Hui Ong
A Corpus of Annotated Revisions for Studying Argumentative Writing. Fan Zhang, Homa B. Hashemi, Rebecca Hwa and Diane Litman
Automatic Induction of Synsets from a Graph of Synonyms. Dmitry Ustalov, Alexander Panchenko and Chris Biemann
Neural Modeling of Multi-Predicate Interactions for Japanese Predicate Argument Structure Analysis. Hiroki Ouchi, Hiroyuki Shindo and Yuji Matsumoto
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. Mandar Joshi, Eunsol Choi, Daniel Weld and Luke Zettlemoyer
Learning Semantic Correspondences in Technical Documentation. Kyle Richardson and Jonas Kuhn
Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. Yixin Cao, Lifu Huang, Heng Ji, Xu Chen and Juanzi Li
Interactive Learning for Acquisition of Grounded Verb Semantics towards Human-Robot Communication. Lanbo She and Joyce Chai
Multimodal Word Distributions. Ben Athiwaratkun and Andrew Wilson
Enhanced LSTM for Natural Language Inference. Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang and Diana Inkpen
Linguistic analysis of differences in portrayal of movie characters. Anil Ramakrishna, Victor R. Martínez, Nikolaos Malandrakis, Karan Singla and Shrikanth Narayanan
Linguistically Regularized LSTM for Sentiment Classification. Qiao Qian, Minlie Huang, Jinhao Lei and Xiaoyan Zhu
Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation. Lotem Peled and Roi Reichart
Active Sentiment Domain Adaptation. Fangzhao Wu, Yongfeng Huang and Jun Yan
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. Navid Rekabsaz, Mihai Lupu, Artem Baklanov, Alexander Dür, Linda Andersson and Allan Hanbury
CANE: Context-Aware Network Embedding for Relation Modeling. Cunchao Tu, Han Liu, Zhiyuan Liu and Maosong Sun
Universal Dependencies Parsing for Colloquial Singaporean English. Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, Jie Yang and Hai Leong Chieu
Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing. Anssi Yli-Jyrä and Carlos Gómez-Rodríguez
Semi-supervised sequence tagging with bidirectional language models. Matthew Peters, Waleed Ammar, Chandra Bhagavatula and Russell Power

Short Papers

Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers. Julien Tourille, Olivier Ferret, Aurelie Neveol and Xavier Tannier
How to Make Contexts More Useful? An Empirical Study on Context-Aware Neural Conversation Models. Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng and Dongyan Zhao
Cross-lingual and cross-domain discourse segmentation of entire documents. Chloé Braud, Ophélie Lacroix and Anders Søgaard
Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron?. Beata Beigman Klebanov, Binod Gyawali and Yi Song
Argumentation Quality Assessment: Theory vs. Practice. Henning Wachsmuth, Nona Naderi, Ivan Habernal, Yufang Hou, Graeme Hirst, Iryna Gurevych and Benno Stein
A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations. Samuel Rönnqvist, Niko Schenk and Christian Chiarcos
Discourse Annotation of Non-native Spontaneous Spoken Responses Using the Rhetorical Structure Theory Framework. Xinhao Wang, James Bruno, Hillary Molloy, Keelan Evanini and Klaus Zechner
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings. Changxing Wu, Xiaodong Shi, Yidong Chen, Jinsong Su and Boli Wang
Oracle Summaries of Compressive Summarization. Tsutomu Hirao, Masaaki Nishino and Masaaki Nagata
Japanese Sentence Compression with a Large Training Dataset. Shun Hasegawa, Yuta Kikuchi, Hiroya Takamura and Manabu Okumura
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes. Pablo Loyola, Edison Marrese-Taylor and Yutaka Matsuo
English Event Detection With Translated Language Features. Sam Wei, Igor Korostil, Joel Nothman and Ben Hachey
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering. Denis Savenkov and Eugene Agichtein
Pocket Knowledge Base Population. Travis Wolfe, Mark Dredze and Benjamin Van Durme
Answering Complex Questions Using Open Information Extraction. Tushar Khot, Ashish Sabharwal and Peter Clark
Bootstrapping for Numerical Open IE. Swarnadeep Saha, Harinder Pal and Mausam
Feature-Rich Deep Neural Networks for Knowledge Base Completion. Alexandros Komninos and Suresh Manandhar
Fine-Grained Entity Typing with High-Multiplicity Assignments. Maxim Rabinovich and Dan Klein
Group Sparse CNNs for Question Classification with Answer Sets. Mingbo Ma, Liang Huang, Bing Xiang and Bowen Zhou
Multi-Task Learning of Keyphrase Boundary Classification. Isabelle Augenstein and Anders Søgaard
Cardinal Virtues: Extracting Relation Cardinalities from Text. Paramita Mirza, Simon Razniewski, Fariz Darari and Gerhard Weikum
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets. Gabriel Stanovsky, Judith Eckle-Kohler, Yevgeniy Puzikov, Ido Dagan and Iryna Gurevych
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks. Rajarshi Das, Manzil Zaheer, Siva Reddy and Andrew McCallum
Differentiable Scheduled Sampling for Credit Assignment. Kartik Goyal, Chris Dyer and Taylor Berg-Kirkpatrick
A Deep Network with Visual Text Composition Behavior. Hongyu Guo
Neural System Combination for Machine Translation. Long Zhou, Wenpeng Hu, Jiajun Zhang and Chengqing Zong
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation. Chenhui Chu, Raj Dabre and Sadao Kurohashi
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings. Benjamin Marie and Atsushi Fujita
Feature Hashing for Language and Dialect Identification. Shervin Malmasi and Mark Dras
Detection of Chinese Word Usage Errors for Non-Native Chinese Learners with Bidirectional LSTM. Yow-Ting Shiue, Hen-Hsen Huang and Hsin-Hsi Chen
Automatic Compositor Attribution in the First Folio of Shakespeare. Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette and Taylor Berg-Kirkpatrick
Constructing Large-Scale Japanese Image Caption Dataset. Yuya Yoshikawa, Yutaro Shigeto and Akikazu Takeuchi
“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection. William Yang Wang
English Multiword Expression-aware Dependency Parsing including Named Entities. Akihiko Kato, Hiroyuki Shindo and Yuji Matsumoto
Improving Semantic Composition with Offset Inference. Thomas Kober, Julie Weeds, Jeremy Reffin and David Weir
Learning Topic-Sensitive Word Representations. Marzieh Fadaee, Arianna Bisazza and Christof Monz
Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings. Terrence Szymanski
Methodical Evaluation of Arabic Word Embeddings. Mohammed Elrazzaz, Shady Elbassuoni, Khaled Shaban and Chadi Helwe
Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast. Hannah Rashkin, Eric Bell, Yejin Choi and Svitlana Volkova
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation. Svetlana Kiritchenko and Saif Mohammad
Demographic Inference on Twitter using Recursive Neural Networks. Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan and Cecile Paris
Twitter Demographic Classification using deep Multi-modal Multi-task Learning. Prashanth Vijayaraghavan, Soroush Vosoughi and Deb Roy
A Network Framework for Noisy Label Aggregation in Social Media. Xueying Zhan, Yaowei Wang, Yanghui Rao, Haoran Xie, Qing Li, Fu Lee Wang and Tak-Lam Wong
Parser Adaptation for Social Media by Integrating Normalization. Rob van der Goot and Gertjan van Noord

Student Research Workshop

Computational Characterization of Mental States: A Natural Language Processing Approach. Facundo Carrillo
Improving Distributed Representations of Tweets - Present and Future. Ganesh Jawahar
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction. Jeenu Grover and Pabitra Mitra
nQuery - A Natural Language Statement to SQL Query Generator. Nandan Sukthankar, Sanket Maharnawar, Pranay Deshmukh, Yashodhara Haribhakta and Vibhavari Kamble
V for Vocab : An Intelligent Flashcard Application. Nihal V. Nayak, Tanmay Chinchore, Aishwarya Hanumanth Rao, Shane Michael Martin, Sagar Nagaraj Simha, G. M. Lingaraju and H. S. Jamadagni
Are You Asking the Right Questions? Teaching Machines to Ask Clarification Questions. Sudha Rao
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems. Yui Suzuki, Tomoyuki Kajiwara and Mamoru Komachi
Segmentation Guided Attention Networks for Visual Question Answering. Vasu Sharma, Ankita Bishnu and Labhesh Patel
Text-based Speaker Identification on Multiparty Dialogues Using Multi-document Convolutional Neural Networks. Kaixin Ma, Catherine Xiao and Jinho D. Choi
Variation Autoencoder Based Network Representation Learning for Classification. Hang Li, Haozheng Wang, Zhenglu Yang and Masato Odagaki
Blind Phoneme Segmentation With Temporal Prediction Errors. Paul Michel, Okko Räsänen, Roland Thiolliere and Emmanuel Dupoux
Automatic Generation of Jokes in Hindi. Srishti Aggarwal and Radhika Mamidi
Word Embedding for Response-To-Text Assessment of Evidence. Haoran Zhang and Diane Litman
Domain Specific Automatic Question Generation from Text. Katira Soleymanzadeh
SoccEval: An Annotation Schema for Rating Soccer Players. Jose Ramirez, Matthew Garber and Xinhao Wang
Accent Adaptation for the Air Traffic Control Domain. Matthew Garber, Meital Singer and Christopher Ward
Generating Steganographic Text with LSTMs. Tina Fang, Martin Jaggi and Katerina Argyraki
Predicting Depression for Japanese Blog Text. Misato Hiraga
Fast Forward Through Opportunistic Incremental Meaning Representation Construction. Petr Babkin and Sergei Nirenburg
Modeling Situations in Neural Chat Bots. Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda and Masaru Kitsuregawa
An Empirical Study on End-to-End Sentence Modelling. Kurt Junshean Espinosa
Varying Linguistic Purposes of Emoji in (Twitter) Context. Noa Naaman, Hannah Provenza and Orion Montoya
Negotiation of Antibiotic Treatment in Medical Consultations: A Corpus Based Study. Nan Wang
Tuesday, August 1
Breakfast
7:30 AM – 8:45 AM
Invited Talk: Squashing Computational Linguistics
Noah Smith (University of Washington)
9:00 AM – 10:10 AM
Bayshore Grand Ballroom

The computational linguistics and natural language processing community is experiencing an episode of deep fascination with representation learning. Like many other presenters at this conference, I will describe new ways to use representation learning in models of natural language. Noting that a data-driven model always assumes a theory (not necessarily a good one), I will argue for the benefits of language-appropriate inductive bias for representation-learning-infused models of language. Such bias often comes in the form of assumptions baked into a model, constraints on an inference algorithm, or linguistic analysis applied to data. Indeed, many decades of research in linguistics (including computational linguistics) put our community in a strong position to identify promising inductive biases. The new models, in turn, may allow us to explore previously unavailable forms of bias, and to produce findings of interest to linguistics. I will focus on new models of documents and of sentential semantic structures, and I will emphasize abstract, reusable components and their assumptions rather than applications.

Break
10:10 AM – 10:30 AM
Information Extraction 3
10:30 AM – 12:05 PM
Salons B/C

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Chair: Kang Liu
10:30-10:48 Deep Pyramid Convolutional Neural Networks for Text Categorization. Rie Johnson and Tong Zhang
10:49-11:07 Improved Neural Relation Detection for Knowledge Base Question Answering. Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cicero dos Santos, Bing Xiang and Bowen Zhou
11:08-11:26 Deep Keyphrase Generation. Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky and Yu Chi
11:27-11:45 Attention-over-Attention Neural Networks for Reading Comprehension. Yiming Cui, Zhipeng Chen, Si wei, Shijin Wang, Ting Liu and Guoping Hu
11:46-12:04 [TACL] Cross-Sentence N-ary Relation Extraction with Graph LSTMs. Nanyun Peng, Hoifung Poon, Chris Quirk, Kristina Toutanova and Scott Wen-tau Yih
Vision 2
10:30 AM – 12:05 PM
Salons E/F

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Chair: Omri Abend
10:30-10:48 Alignment at Work: Using Language to Distinguish the Internalization and Self-Regulation Components of Cultural Fit in Organizations. Gabriel Doyle, Amir Goldberg, Sameer Srivastava and Michael Frank
10:49-11:07 Representations of language in a model of visually grounded speech signal. Grzegorz Chrupała, Lieke Gelderloos and Afra Alishahi
11:08-11:26 Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance. Yang Xu and David Reitter
11:27-11:45 [TACL] Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction. Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed and Manfred Pinkal
11:46-11:58 An Analysis of Action Recognition Datasets for Language and Vision Tasks. Spandana Gella and Frank Keller
Dialogue 2
10:30 AM – 12:05 PM
Salon D

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Chair: Marti Hearst
10:30-10:48 Affect-LM: A Neural Language Model for Customizable Affective Text Generation. Sayan Ghosh, Mathieu Chollet, Eugene Laksana, Louis-Philippe Morency and Stefan Scherer
10:49-11:07 Domain Attention with an Ensemble of Experts. Young-Bum Kim, Karl Stratos and Dongchan Kim
11:08-11:26 Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders. Tiancheng Zhao, Ran Zhao and Maxine Eskenazi
11:27-11:45 Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning. Jason D Williams, Kavosh Asadi and Geoffrey Zweig
11:46-12:04 Generating Contrastive Referring Expressions. Martin Villalba, Christoph Teichmann and Alexander Koller
Machine Translation 2
10:30 AM – 12:05 PM
Salon 1

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Chair: Graham Neubig
10:30-10:48 Modeling Source Syntax for Neural Machine Translation. Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang and Guodong Zhou
10:49-11:07 Sequence-to-Dependency Neural Machine Translation. Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li and Ming Zhou
11:08-11:26 [TACL] Head-Lexicalized Bidirectional Tree LSTMs. Zhiyang Teng and Yue Zhang
11:27-11:45 [TACL] Pushing the Limits of Translation Quality Estimation. André F. T. Martins, Marcin Junczys-Dowmunt, Fabio N. Kepler, Ramón Astudillo, Chris Hokamp and Roman Grundkiewicz
11:46-11:58 Learning to Parse and Translate Improves Neural Machine Translation. Akiko Eriguchi, Yoshimasa Tsuruoka and Kyunghyun Cho
Social Media
10:30 AM – 12:05 PM
Salons 2/3

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Chair: Saif M. Mohammad
10:30-10:48 Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. Jing Ma, Wei Gao and Kam-Fai Wong
10:49-11:07 EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks. Muhammad Abdul-Mageed and Lyle Ungar
11:08-11:26 Beyond Binary Labels: Political Ideology Prediction of Twitter Users. Daniel Preoţiuc-Pietro, Ye Liu, Daniel Hopkins and Lyle Ungar
11:27-11:45 Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. Kristen Johnson, Di Jin and Dan Goldwasser
11:46-11:58 On the Distribution of Lexical Features at Multiple Levels of Analysis. Fatemeh Almodaresi, Lyle Ungar, Vivek Kulkarni, Mohsen Zakeri, Salvatore Giorgi and H. Andrew Schwartz
Lunch
12:05 PM – 1:30 PM
Multidisciplinary
1:30 PM – 3:00 PM
Salons B/C

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Chair: Martha Palmer
1:30-1:42 Exploring Neural Text Simplification Models. Sergiu Nisioi, Sanja Štajner, Simone Paolo Ponzetto and Liviu P. Dinu
1:43-2:01 A Nested Attention Neural Hybrid Model for Grammatical Error Correction. Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong and Jianfeng Gao
2:02-2:20 TextFlow: A Text Similarity Measure based on Continuous Sequences. Yassine Mrabet, Halil Kilicoglu and Dina Demner-Fushman
2:21-2:39 Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts. Chenhao Tan, Dallas Card and Noah A. Smith
2:40-2:52 On the Challenges of Translating NLP Research into Commercial Products. Daniel Dahlmeier
Languages & Resources
1:30 PM – 3:00 PM
Salons E/F

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Chair: Tim Baldwin
1:30-1:48 Polish evaluation dataset for compositional distributional semantics models. Alina Wróblewska and Katarzyna Krasnowska-Kieraś
1:49-2:07 Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction. Christopher Bryant, Mariano Felice and Ted Briscoe
2:08-2:26 Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability. Saku Sugawara, Yusuke Kido, Hikaru Yokono and Akiko Aizawa
2:27-2:39 Sentence Alignment Methods for Improving Text Simplification Systems. Sanja Štajner, Marc Franco-Salvador, Simone Paolo Ponzetto, Paolo Rosso and Heiner Stuckenschmidt
2:40-2:52 Understanding Task Design Trade-offs in Crowdsourced Paraphrase Collection. Youxuan Jiang, Jonathan K. Kummerfeld and Walter S. Lasecki
Syntax 2
1:30 PM – 3:00 PM
Salon D

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Chair: Mark Johnson
1:30-1:48 A Minimal Span-Based Neural Constituent Parser. Mitchell Stern, Jacob Andreas and Dan Klein
1:49-2:07 Semantic Dependency Parsing via Book Embedding. Weiwei Sun, Junjie Cao and Xiaojun Wan
2:08-2:26 Neural Word Segmentation with Rich Pretraining. Jie Yang, Yue Zhang and Fei Dong
2:27-2:39 Arc-swift: A Novel Transition System for Dependency Parsing. Peng Qi and Christopher D. Manning
2:40-2:52 A Generative Parser with a Discriminative Recognition Algorithm. Jianpeng Cheng, Adam Lopez and Mirella Lapata
Machine Translation 3
1:30 PM – 3:00 PM
Salon 1

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Chair: Min Zhang
1:30-1:48 Neural Machine Translation via Binary Code Prediction. Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino and Satoshi Nakamura
1:49-2:07 What do Neural Machine Translation Models Learn about Morphology?. Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad and James Glass
2:08-2:26 [TACL] Fully Character-Level Neural Machine Translation without Explicit Segmentation. Jason Lee, Kyunghyun Cho and Thomas Hofmann
2:27-2:39 Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation. Weiyue Wang, Tamer Alkhouli, Derui Zhu and Hermann Ney
2:40-2:52 Towards String-To-Tree Neural Machine Translation. Roee Aharoni and Yoav Goldberg
Sentiment 2
1:30 PM – 3:00 PM
Salons 2/3

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Chair: Jing Jiang
1:30-1:48 Context-Dependent Sentiment Analysis in User-Generated Videos. Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh and Louis-Philippe Morency
1:49-2:07 A Multidimensional Lexicon for Interpersonal Stancetaking. Umashanthi Pavalanathan, Jim Fitzpatrick, Scott Kiesling and Jacob Eisenstein
2:08-2:20 Learning Lexical-Functional Patterns for First-Person Affect. Lena Reed, Jiaqi Wu, Shereen Oraby, Pranav Anand and Marilyn Walker
2:21-2:33 Lifelong Learning CRF for Supervised Aspect Extraction. Lei Shu, Hu Xu and Bing Liu
2:34-2:46 Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. Ye Zhang, Matthew Lease and Byron C. Wallace
Break
3:05 PM – 3:25 PM
Information Extraction 4
3:25 PM – 5:00 PM
Salons B/C

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Chair: Sarvnaz Karimi
3:25-3:43 Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling. Jeffrey Lund, Connor Cook, Kevin Seppi and Jordan Boyd-Graber
3:44-4:02 Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task. Omid Bakhshandeh and James Allen
4:03-4:21 Going out on a limb : Joint Extraction of Entity Mentions and Relations without Dependency Trees. Arzoo Katiyar and Claire Cardie
4:22-4:40 [TACL] Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels. Alison Smith, Tak Yeon Lee, Forough-Poursabzi Sangdeh, Jordan Boyd-Graber, Niklas Elmqvist, Leah Findlater
4:41-4:53 Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. Daniel Fried, Mitchell Stern and Dan Klein
Semantics 3
3:25 PM – 5:00 PM
Salons E/F

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Chair: Hanna Hajishirzi
3:25-3:43 Naturalizing a Programming Language via Interactive Learning. Sida I. Wang, Sam Ginn, Percy Liang and Christopher D. Manning
3:44-4:02 Semantic Word Clusters Using Signed Spectral Clustering. Joao Sedoc, Jean Gallier, Dean Foster and Lyle Ungar
4:03-4:21 An Interpretable Knowledge Transfer Model for Knowledge Base Completion. Qizhe Xie, Xuezhe Ma, Zihang Dai and Eduard Hovy
4:22-4:40 Learning a Neural Semantic Parser from User Feedback. Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy and Luke Zettlemoyer
4:41-4:59 [TACL] Enriching Word Vectors with Subword Information. Piotr Bojanowski, Edouard Grave, Armand Joulin and Tomas Mikolov
Discourse 2 / Dialogue 3
3:25 PM – 5:00 PM
Salon D

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Chair: Smaranda Muresan
3:25-3:43 Joint Modeling of Content and Discourse Relations in Dialogues. Kechen Qin, Lu Wang and Joseph Kim
3:44-4:02 Argument Mining with Structured SVMs and RNNs. Vlad Niculae, Joonsuk Park and Claire Cardie
4:03-4:21 Neural Discourse Structure for Text Categorization. Yangfeng Ji and Noah A. Smith
4:22-4:40 Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu and Eric Xing
4:41-4:59 Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures. Iryna Haponchyk and Alessandro Moschitti
Machine Learning 2
3:25 PM – 5:00 PM
Salon 1

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Chair:
3:25-3:43 Bayesian Modeling of Lexical Resources for Low-Resource Settings. Nicholas Andrews, Mark Dredze, Benjamin Van Durme and Jason Eisner
3:44-4:02 Semi-Supervised QA with Generative Domain-Adaptive Nets. Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov and William Cohen
4:03-4:21 From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood. Kelvin Guu, Panupong Pasupat, Evan Liu and Percy Liang
4:22-4:34 Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function. Oren Melamud and Jacob Goldberger
4:35-4:47 Implicitly-Defined Neural Networks for Sequence Labeling. Michaeel Kazi and Brian Thompson
Summarization
3:25 PM – 5:00 PM
Salons 2/3

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Chair: Rebecca Passonneau
3:25-3:43 Diversity driven attention model for query-based abstractive summarization. Preksha Nema, Mitesh M. Khapra, Balaraman Ravindran and Anirban Laha
3:44-4:02 Get To The Point: Summarization with Pointer-Generator Networks. Abigail See, Peter J. Liu and Christopher D. Manning
4:03-4:21 Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization. Maxime Peyrard and Judith Eckle-Kohler
4:22-4:40 Selective Encoding for Abstractive Sentence Summarization. Qingyu Zhou, Nan Yang, Furu Wei and Ming Zhou
4:41-4:59 PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents. Corina Florescu and Cornelia Caragea
Posters, Demos & Dinner
5:45 PM – 7:45 PM
Bayshore Grand Ballroom/Stanley Park Foyer/Cypress

Long Papers

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings. He He, Anusha Balakrishnan, Mihail Eric and Percy Liang
Neural Belief Tracker: Data-Driven Dialogue State Tracking. Nikola Mrkšić, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson and Steve Young
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms. Shulin Liu, Yubo Chen, Kang Liu and Jun Zhao
Topical Coherence in LDA-based Models through Induced Segmentation. Hesam Amoualian, Wei Lu, Eric Gaussier, Georgios Balikas, Massih R Amini and Marianne Clausel
Jointly Extracting Relations with Class Ties via Effective Deep Ranking. Hai Ye, Wenhan Chao, Zhunchen Luo and Zhoujun Li
Search-based Neural Structured Learning for Sequential Question Answering. Mohit Iyyer, Scott Wen-tau Yih and Ming-Wei Chang
Gated-Attention Readers for Text Comprehension. Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William Cohen and Ruslan Salakhutdinov
Determining Gains Acquired from Word Embedding Quantitatively using Discrete Distribution Clustering. Jianbo Ye, Yanran Li, Zhaohui Wu, James Z. Wang, Wenjie Li and Jia Li
Towards a Seamless Integration of Word Senses into Downstream NLP Applications. Mohammad Taher Pilehvar, Jose Camacho-Collados, Roberto Navigli and Nigel Collier
Reading Wikipedia to Answer Open-Domain Questions. Danqi Chen, Adam Fisch, Jason Weston and Antoine Bordes
Learning to Skim Text. Adams Wei Yu, Hongrae Lee and Quoc Le
An Algebra for Feature Extraction. Vivek Srikumar
Chunk-based Decoder for Neural Machine Translation. Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa and Weijia Jia
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation. Iacer Calixto, Qun Liu and Nick Campbell
A Teacher-Student Framework for Zero-Resource Neural Machine Translation. Yun Chen, Yang Liu, Yong Cheng and Victor O.K. Li
Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. Huadong Chen, Shujian Huang, David Chiang and Jiajun Chen
Cross-lingual Name Tagging and Linking for 282 Languages. Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight and Heng Ji
Adversarial Training for Unsupervised Bilingual Lexicon Induction. Meng Zhang, Yang Liu, Huanbo Luan and Maosong Sun
Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique. Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali and Chandra Shekhar Maddila
Using Global Constraints and Reranking to Improve Cognates Detection. Michael Bloodgood and Benjamin Strauss
One-Shot Neural Cross-Lingual Transfer for Paradigm Completion. Katharina Kann, Ryan Cotterell and Hinrich Schütze
Morphological Inflection Generation with Hard Monotonic Attention. Roee Aharoni and Yoav Goldberg
From Characters to Words to in Between: Do We Capture Morphology?. Clara Vania and Adam Lopez
Riemannian Optimization for Skip-Gram Negative Sampling. Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov and Ivan Oseledets
Deep Multitask Learning for Semantic Dependency Parsing. Hao Peng, Sam Thomson and Noah A. Smith
Improved Word Representation Learning with Sememes. Yilin Niu, Ruobing Xie, Zhiyuan Liu and Maosong Sun
Learning Character-level Compositionality with Visual Features. Frederick Liu, Han Lu, Chieh Lo and Graham Neubig
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. Qiaolin Xia, Lei Sha, Baobao Chang and Zhifang Sui
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. John Wieting and Kevin Gimpel
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. Pradeep Dasigi, Waleed Ammar, Chris Dyer and Eduard Hovy
Identifying 1950s American Jazz Composers: Fine-Grained IsA Extraction via Modifier Composition. Ellie Pavlick and Marius Pasca
Parsing to 1-Endpoint-Crossing, Pagenumber-2 Graphs. Junjie Cao, Sheng Huang, Weiwei Sun and Xiaojun Wan
Semi-supervised Multitask Learning for Sequence Labeling. Marek Rei
Semantic Parsing of Pre-university Math Problems. Takuya Matsuzaki, Takumi Ito, Hidenao Iwane, Hirokazu Anai and Noriko H. Arai

Short Papers

AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang and Wei Chu
A Conditional Variational Framework for Dialog Generation. Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa and Guoping Long
Question Answering through Transfer Learning from Large Fine-grained Supervision Data. Sewon Min, Minjoon Seo and Hannaneh Hajishirzi
Self-Crowdsourcing Training for Relation Extraction. Azad Abad, Moin Nabi and Alessandro Moschitti
A Generative Attentional Neural Network Model for Dialogue Act Classification. Quan Hung Tran, Gholamreza Haffari and Ingrid Zukerman
Salience Rank: Efficient Keyphrase Extraction with Topic Modeling. Nedelina Teneva and Weiwei Cheng
List-only Entity Linking. Ying Lin, Chin-Yew Lin and Heng Ji
Improving Native Language Identification by Using Spelling Errors. Lingzhen Chen, Carlo Strapparava and Vivi Nastase
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model. Paria Jamshid Lou and Mark Johnson
On the Equivalence of Holographic and Complex Embeddings for Link Prediction. Katsuhiko Hayashi and Masashi Shimbo
Sentence Embedding for Neural Machine Translation Domain Adaptation. Rui Wang, Andrew Finch, Masao Utiyama and Eiichiro Sumita
Data Augmentation for Low-Resource Neural Machine Translation. Marzieh Fadaee, Arianna Bisazza and Christof Monz
Speeding up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary. Xing Shi and Kevin Knight
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li and Jiajun Chen
Model Transfer for Tagging Low-resource Languages without Bilingual Corpora. Meng Fang and Trevor Cohn
EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text. Claudio Delli Bovi, Jose Camacho-Collados, Alessandro Raganato and Roberto Navigli
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Ahmed Abdelali, Yonatan Belinkov and Stephan Vogel
Fast and Accurate Neural Word Segmentation for Chinese. Deng Cai, Hai Zhao, Zhisong Zhang, Yuan Xin, Yongjian Wu and Feiyue Huang
Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. Zheng Cai, Lifu Tu and Kevin Gimpel
Neural Semantic Parsing over Multiple Knowledge-bases. Jonathan Herzig and Jonathan Berant
Representing Sentences as Low-Rank Subspaces. Jiaqi Mu, Suma Bhat and Pramod Viswanath
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization. Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li and Qi Su
Determining Whether and When People Participate in the Events They Tweet About. Krishna Chaitanya Sanagavarapu, Alakananda Vempala and Eduardo Blanco
Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter. Svitlana Volkova, Kyle Shaffer, Jin Yea Jang and Nathan Hodas
Recognizing Counterfactual Thinking in Social Media Texts. Youngseo Son, Anneke Buffone, Joe Raso, Allegra Larche, Anthony Janocko, Kevin Zembroski, H. Andrew Schwartz and Lyle Ungar
Temporal Orientation of Tweets for Predicting Income of User. Mohammed Hasanuzzaman, Sabyasachi Kamila, Mandeep Kaur, Sriparna Saha and Asif Ekbal
Character-Aware Neural Morphological Disambiguation. Alymzhan Toleu, Gulmira Tolegen and Aibek Makazhanov
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages. Xiang Yu and Ngoc Thang Vu
How (not) to train a dependency parser: The curious case of jackknifing part-of-speech taggers. Željko Agić and Natalie Schluter

System Demonstrations

Annotating tense, mood and voice for English, French and German. Anita Ramm, Sharid Loáiciga, Annemarie Friedrich and Alexander Fraser
Automating Biomedical Evidence Synthesis: RobotReviewer. Iain Marshall, Joël Kuiper, Edward Banner and Byron C. Wallace
Benben: A Chinese Intelligent Conversational Robot. Wei-Nan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao and Xiao Ding
End-to-End Non-Factoid Question Answering with an Interactive Visualization of Neural Attention Weights. Andreas Rücklé and Iryna Gurevych
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media. Dustin Arendt and Svitlana Volkova
Exploring Diachronic Lexical Semantics with JeSemE. Johannes Hellrich and Udo Hahn
Extended Named Entity Recognition API and Its Applications in Language Education. Tuan Duc Nguyen, Khai Mai, Thai-Hoang Pham, Minh Trung Nguyen, Truc-Vien T. Nguyen, Takashi Eguchi, Ryohei Sasano and Satoshi Sekine
Hafez: an Interactive Poetry Generation System. Marjan Ghazvininejad, Xing Shi, Jay Priyadarshi and Kevin Knight
Interactive Visual Analysis of Transcribed Multi-Party Discourse. Mennatallah El-Assady, Annette Hautli-Janisz, Valentin Gold, Miriam Butt, Katharina Holzinger and Daniel Keim
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard Weinshilboum and Jiawei Han
Olelo: A Question Answering Application for Biomedicine. Mariana Neves, Hendrik Folkerts, Marcel Jankrift, Julian Niedermeier, Toni Stachewicz, Sören Tietböhl, Milena Kraus and Matthias Uflacker
OpenNMT: Open-Source Toolkit for Neural Machine Translation. Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart and Alexander Rush
PyDial: A Multi-domain Statistical Dialogue System Toolkit. Stefan Ultes, Lina M. Rojas Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Paweł Budzianowski, Nikola Mrkšić, Tsung-Hsien Wen, Milica Gasic and Steve Young
RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations. Kateryna Tymoshenko, Alessandro Moschitti, Massimo Nicosia and Aliaksei Severyn
Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ. Jason Kessler
Semedico: A Comprehensive Semantic Search Engine for the Life Sciences. Erik Faessler and Udo Hahn
SuperAgent: A Customer Service Chatbot for E-commerce Websites. Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan and Ming Zhou
Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph. Gus Hahn-Powell, Marco A. Valenzuela-Escárcega and Mihai Surdeanu
UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation. Omri Abend, Shai Yerushalmi and Ari Rappoport
WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation. Niket Tandon, Gerard de Melo and Gerhard Weikum
Zara Returns: Improved Personality Induction and Adaptation by an Empathetic Virtual Agent. Farhad Bin Siddique, Onno Kampman, Yang Yang, Anik Dey and Pascale Fung
Social Event
7:00 PM – 10:00 PM
Vancouver Aquarium

With over 50,000 amazing aquatic creatures, the Vancouver Aquarium Marine Science Centre provides a beautiful backdrop for our event with unforgettable galleries filled with aquatic life, plus expansive outdoor spaces.

The Vancouver Aquarium is a self-supporting, non-profit society dedicated to effecting the conservation of aquatic life through display and interpretation, education, research and direct action. Our event will help to achieve a positive effect on the marine world and directly contribute to their conservation, research and education programs.

The social event is included with your registration. We will also offer additional admissions for people accompanying participants (see registration form for pricing details).

Learn more about the social event here.

Wednesday, August 2
Breakfast
7:30 AM – 8:45 AM
Invited Talk: Translating from Multiple Modalities to Text and Back
Mirella Lapata (University of Edinburgh)
9:00 AM – 10:10 AM
Bayshore Grand Ballroom

Recent years have witnessed the development of a wide range of computational tools that process and generate natural language text. Many of these have become familiar to mainstream computer users in the from of web search, question answering, sentiment analysis, and notably machine translation. The accessibility of the web could be further enhanced with applications that not only translate between different languages (e.g., from English to French) but also within the same language, between different modalities, or different data formats. The web is rife with non-linguistic data (e.g., video, images, source code) that cannot be indexed or searched since most retrieval tools operate over textual data.

In this talk I will argue that in order to render electronic data more accessible to individuals and computers alike, new types of translation models need to be developed. I will focus on three examples, text simplification, source code generation, and movie summarization. I will illustrate how recent advances in deep learning can be extended in order to induce general representations for different modalities and learn how to translate between these and natural language.

Break
10:10 AM – 10:40 AM
Outstanding Papers 1
10:40 AM – 12:15 PM
Salons A/B/C

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Chairs: Jason Eisner & Julia Hockenmaier
10:40-10:58 Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio and Joelle Pineau
10:59-11:17 A Transition-Based Directed Acyclic Graph Parser for UCCA. Daniel Hershcovich, Omri Abend and Ari Rappoport
11:18-11:36 Abstract Syntax Networks for Code Generation and Semantic Parsing. Maxim Rabinovich, Mitchell Stern and Dan Klein
11:37-11:49 The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective. Bogdan Ludusan, Reiko Mazuka, Mathieu Bernard, Alejandrina Cristia and Emmanuel Dupoux
11:50-12:02 A Two-stage Parsing Method for Text-level Discourse Analysis. Yizhong Wang, Sujian Li and Houfeng Wang
12:03-12:15 Error-repair Dependency Parsing for Ungrammatical Texts. Keisuke Sakaguchi, Matt Post and Benjamin Van Durme
Outstanding Papers 2
10:40 AM – 12:15 PM
Salons D/E/F

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Chairs: Kristina Toutanova & Wei Lu
10:40-10:58 Visualizing and Understanding Neural Machine Translation. Yanzhuo Ding, Yang Liu, Huanbo Luan and Maosong Sun
10:59-11:17 Detecting annotation noise in automatically labelled data. Ines Rehbein and Josef Ruppenhofer
11:18-11:30 Attention Strategies for Multi-Source Sequence-to-Sequence Learning. Jindřich Libovický and Jindřich Helcl
11:31-11:43 Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. Xinyu Hua and Lu Wang
11:44-11:56 A Neural Model for User Geolocation and Lexical Dialectology. Afshin Rahimi, Trevor Cohn and Timothy Baldwin
11:57-12:09 A Corpus of Compositional Language for Visual Reasoning. Alane Suhr, Mike Lewis, James Yeh and Yoav Artzi
Lunch
12:15 PM – 1:30 PM
ACL Business Meeting
All attendees are encouraged to participate in the business meeting.
1:00 PM – 2:30 PM
Salons D/E/F
Break
2:30 PM – 3:00 PM
Outstanding Papers 3
3:00 PM – 4:40 PM
Salons A/B/C

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Chair: Heng Ji
3:00-3:18 Abstractive Document Summarization with a Graph-Based Attentional Neural Model. Jiwei Tan, Xiaojun Wan and Jianguo Xiao
3:19-3:37 Probabilistic Typology: Deep Generative Models of Vowel Inventories. Ryan Cotterell and Jason Eisner
3:38-3:56 Adversarial Multi-Criteria Learning for Chinese Word Segmentation. Xinchi Chen, Zhan Shi, Xipeng Qiu and Xuanjing Huang
3:57-4:15 Neural Joint Model for Transition-based Chinese Syntactic Analysis. Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi
4:16-4:34 Robust Incremental Neural Semantic Graph Parsing. Jan Buys and Phil Blunsom
Outstanding Papers 4
3:00 PM – 4:40 PM
Salons D/E/F

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Chair: Alessandro Moschitti
3:00-3:18 Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme. Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou and Bo Xu
3:19-3:37 A Local Detection Approach for Named Entity Recognition and Mention Detection. Mingbin Xu, Hui Jiang and Sedtawut Watcharawittayakul
3:38-3:56 Vancouver Welcomes You! Minimalist Location Metonymy Resolution. Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham and Nigel Collier
3:57-4:15 Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction. Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi and Tomoko Ohkuma
4:16-4:34 Multi-Task Video Captioning with Visual and Textual Entailment. Ramakanth Pasunuru and Mohit Bansal
Lifetime Achivement Award
4:45 PM – 5:45 PM
Bayshore Grande Ballroom
Closing Session & Awards
5:45 PM – 6:00 PM
Bayshore Grande Ballroom
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