Tuesday, August 9

9:00-10:10 Invited talk II: Mark Steedman
10:10-10:40 Coffee break

Session 4A: Relations and Knowledge Bases

chair: Yejin Choi

10:40-11:00 Identifying Causal Relations Using Parallel Wikipedia Articles
Christopher Hidey and Kathy McKeown
11:00-11:20 Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
Kristina Toutanova, Victoria Lin, Wen-tau Yih, Hoifung Poon and Chris Quirk
11:20-11:40 Commonsense Knowledge Base Completion
Xiang Li, Aynaz Taheri, Lifu Tu and Kevin Gimpel
11:40-12:00 Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations (TACL)
Diego Marcheggiani and Ivan Titov

Session 4B: Semantic Parsing II

chair: Hannaneh Hajishirzi

10:40-11:00 Simpler Context-Dependent Logical Forms via Model Projections
Reginald Long, Panupong Pasupat and Percy Liang
11:20-11:40 A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning and Christopher Potts
11:40-12:00 Learning to Make Inferences in a Semantic Parsing Task (TACL)
Kyle Richardson and Jonas Kuhn

Session 4C: Word Meaning II

chair: Aurelie Herbelot

11:00-11:20 A Bayesian Model of Diachronic Meaning Change (TACL)
Lea Frermann and Mirella Lapata
11:20-11:40 Investigating Language Universal and Specific Properties in Word Embeddings
Peng Qian, Xipeng Qiu and Xuanjing Huang
11:40-12:00 Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
William L. Hamilton, Jure Leskovec and Dan Jurafsky

Session 4D: Tasks and Datasets

chair: Iryna Gurevych

10:40-11:00 Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long
Alakananda Vempala and Eduardo Blanco
11:00-11:20 LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
Andrew Bennett, Timothy Baldwin, Jey Han Lau, Diana McCarthy and Francis Bond
11:20-11:40 The LAMBADA dataset: Word prediction requiring a broad discourse context
Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Ngoc Quan Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda and Raquel Fernandez
11:40-12:00 WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
Daniel Hewlett, Alexandre Lacoste, Llion Jones, Illia Polosukhin, Andrew Fandrianto, Jay Han, Matthew Kelcey and David Berthelot

Session 4E: Parsing IV

chair: Chris Dyer

10:40-11:00 Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations (TACL)
Eliyahu Kiperwasser and Yoav Goldberg
11:00-11:20 Optimizing Spectral Learning for Parsing
Shashi Narayan and Shay B. Cohen
11:20-11:40 Stack-propagation: Improved Representation Learning for Syntax
Yuan Zhang and David Weiss

Session 4F: Document Analysis

chair: David Bamman

10:40-11:00 Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast
Svitlana Volkova and Yoram Bachrach
11:00-11:20 Prototype Synthesis for Model Laws
Matthew Burgess, Eugenia Giraudy and Eytan Adar
11:20-11:40 Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM
Ivan Habernal and Iryna Gurevych
11:40-12:00 Discovery of Treatments from Text Corpora
Christian Fong and Justin Grimmer
12:00-13:40 Lunch break

Session 5A: Deep Learning (short papers)

chair: James Henderson

13:40-13:56 The red one!: On learning to refer to things based on discriminative properties
Angeliki Lazaridou, Nghia The Pham and Marco Baroni
13:56-14:12 Don't Count, Predict! An Automatic Approach to Learning Sentiment Lexicons for Short Text
Duy Tin Vo and Yue Zhang
14:12-14:28 Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model
Jin Wang, Liang-Chih Yu, K. Robert Lai and Xuejie Zhang
14:28-14:44 Deep multi-task learning with low level tasks supervised at lower layers
Anders Søgaard and Yoav Goldberg
14:44-15:00 Domain Specific Named Entity Recognition Referring to the Real World by Deep Neural Networks
Suzushi Tomori, Takashi Ninomiya and Shinsuke Mori

Session 5B: Semantics and Generation (short papers)

chair: Karl Moritz Hermann

13:40-13:56 An Entity-Focused Approach to Generating Company Descriptions
Gavin Saldanha, Or Biran, Kathleen McKeown and Alfio Gliozzo
13:56-14:12 Annotating Relation Inference in Context via Question Answering
Omer Levy and Ido Dagan
14:12-14:28 Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features
Maximilian Köper and Sabine Schulte im Walde
14:28-14:44 Natural Language Generation enhances human decision-making with uncertain information
Dimitra Gkatzia, Oliver Lemon and Verena Rieser
14:44-15:00 Tweet2Vec: Character-Based Distributed Representations for Social Media
Bhuwan Dhingra, Zhong Zhou, Dylan Fitzpatrick, Michael Muehl and William Cohen

Session 5C: Machine Translation II (short papers)

chair: Lucia Specia

13:40-13:56 Phrase-Level Combination of SMT and TM Using Constrained Word Lattice
Liangyou Li, Andy Way and Qun Liu
13:56-14:12 A Neural Network based Approach to Automatic Post-Editing
Santanu Pal, Sudip Kumar Naskar, Mihaela Vela and Josef van Genabith
14:12-14:28 An Unsupervised Method for Automatic Translation Memory Cleaning
Masoud Jalili Sabet, Matteo Negri, Marco Turchi and Eduard Barbu
14:28-14:44 Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation
Jan-Thorsten Peter, Weiyue Wang and Hermann Ney
14:44-15:00 Syntactically Guided Neural Machine Translation
Felix Stahlberg, Eva Hasler, Aurelien Waite and Bill Byrne

Session 5D: Text Classification (short papers)

chair: Smaranda Muresan

13:40-13:56 Very quaffable and great fun: Applying NLP to wine reviews
Iris Hendrickx, Els Lefever, Ilja Croijmans, Asifa Majid and Antal van den Bosch
13:56-14:12 Exploring Stylistic Variation with Age and Income on Twitter
Lucie Flekova, Daniel Preoţiuc-Pietro and Lyle Ungar
14:12-14:28 Finding Optimists and Pessimists on Twitter
Xianzhi Ruan, Steven Wilson and Rada Mihalcea
14:28-14:44 Transductive Adaptation of Black Box Predictions
Stephane Clinchant, Boris Chidlovskii and Gabriela Csurka
14:44-15:00 Which Tumblr Post Should I Read Next?
Zornitsa Kozareva and Makoto Yamada

Session 5E: Potpourri I (short papers)

chair: Brian Roark

13:40-13:56 Text Simplification as Tree Labeling
Joachim Bingel and Anders Søgaard
13:56-14:12 Bootstrapped Text-level Named Entity Recognition for Literature
Julian Brooke, Adam Hammond and Timothy Baldwin
14:12-14:28 The Enemy in Your Own Camp: How Well Can We Detect Statistically-Generated Fake Reviews -- An Adversarial Study
Dirk Hovy
15:00-15:30 Coffee break

Session 6A: Machine Learning

chair: Yulia Tsvetkov

15:30-15:50 Learning Structured Predictors from Bandit Feedback for Interactive NLP
Artem Sokolov, Julia Kreutzer, Christopher Lo and Stefan Riezler
15:50-16:10 Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources (TACL)
Silvana Hartmann, Judith Eckle-Kohler and Iryna Gurevych
16:10-16:30 Deep Reinforcement Learning with a Natural Language Action Space
Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng and Mari Ostendorf
16:30-16:50 Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu, Zhengdong Lu, Hang Li and Victor O.K. Li
16:50-17:10 Cross-domain Text Classification with Multiple Domains and Disparate Label Sets
Himanshu Sharad Bhatt, Manjira Sinha and Shourya Roy

Session 6B: Word Vectors II

chair: Waleed Ammar

15:30-15:50 A latent variable model approach to PMI-based word embeddings (TACL)
Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma and Andrej Risteski
15:50-16:10 Morphological Smoothing and Extrapolation of Word Embeddings
Ryan Cotterell, Hinrich Schütze and Jason Eisner
16:10-16:30 Cross-lingual Models of Word Embeddings: An Empirical Comparison
Shyam Upadhyay, Manaal Faruqui, Chris Dyer and Dan Roth
16:30-16:50 Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova, Laura Rimell, Trevor Cohn and Timothy Baldwin

Session 6C: Machine Translation III

chair: Andre Martins

15:30-15:50 Minimum Risk Training for Neural Machine Translation
Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun and Yang Liu
15:50-16:10 Adapting to All Domains at Once: Rewarding Domain Invariance in SMT (TACL)
Hoang Cuong, Khalil Sima'an and Ivan Titov
16:10-16:30 A Character-level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho and Yoshua Bengio
16:30-16:50 Target-Side Context for Discriminative Models in Statistical Machine Translation
Aleš Tamchyna, Alexander Fraser, Ondřej Bojar and Marcin Junczys-Dowmunt
16:50-17:10 Neural Machine Translation of Rare Words with Subword Units
Rico Sennrich, Barry Haddow and Alexandra Birch

Session 6D: Discourse

chair: Vincent Ng

15:30-15:50 Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network
Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu and Xuanjing Huang
15:50-16:10 Model Architectures for Quotation Detection
Christian Scheible, Roman Klinger and Sebastian Padó
16:10-16:30 Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured Models
Shafiq Joty and Enamul Hoque
16:30-16:50 Situation entity types: automatic classification of clause-level aspect
Annemarie Friedrich, Alexis Palmer and Manfred Pinkal
16:50-17:10 An Empirical Analysis of Formality in Online Communication (TACL)
Ellie Pavlick and Joel Tetreault

Session 6E: Language and Vision

chair: David Schlangen

15:30-15:50 Learning Prototypical Event Structure from Photo Albums
Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi and Yejin Choi
15:50-16:10 Cross-Lingual Image Caption Generation
Takashi Miyazaki and Nobuyuki Shimizu
16:10-16:30 Learning Concept Taxonomies from Multi-modal Data
Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan and Eric Xing
16:30-16:50 Generating Natural Questions About an Image
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He and Lucy Vanderwende
16:50-17:10 Physical Causality of Action Verbs in Grounded Language Understanding
Qiaozi Gao, Malcolm Doering, Shaohua Yang and Joyce Chai

Session 6F: Summarization

chair: Preslav Nakov

16:30-16:50 Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
Maxime Peyrard and Judith Eckle-Kohler
16:50-17:10 Optimizing Statistical Machine Translation for Text Simplification (TACL)
Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen and Chris Callison-Burch

Session 6G: Learner Language

chair: Yoav Goldberg

15:30-15:50 Phrase Structure Annotation and Parsing for Learner English
Ryo Nagata and Keisuke Sakaguchi
15:50-16:10 A Trainable Spaced Repetition Model for Language Learning
Burr Settles and Brendan Meeder
16:10-16:30 Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality (TACL)
Keisuke Sakaguchi, Courtney Napoles, Matt Post and Joel Tetreault
16:30-16:50 User Modeling in Language Learning with Macaronic Texts
Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner
16:50-17:10 On the Similarities Between Native, Non-native and Translated Texts
Ella Rabinovich, Sergiu Nisioi, Noam Ordan and Shuly Wintner

Poster Session II

Poster Session Guide

  Learning Text Pair Similarity with Context-sensitive Autoencoders
Hadi Amiri, Philip Resnik, Jordan Boyd-Graber and Hal Daumé III
  Linguistic Benchmarks of Online News Article Quality
Ioannis Arapakis, Filipa Peleja, Barla Berkant and Joao Magalhaes
  Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation
ander barrena, Aitor Soroa and Eneko Agirre
  Mining Paraphrasal Typed Templates from a Plain Text Corpus
Or Biran, Terra Blevins and Kathleen McKeown
  How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents
Anders Björkelund, Agnieszka Faleńska, Wolfgang Seeker and Jonas Kuhn
  MUTT: Metric Unit TesTing for Language Generation Tasks
William Boag, Renan Campos, Kate Saenko and Anna Rumshisky
  N-gram language models for massively parallel devices
Nikolay Bogoychev and Adam Lopez
  Cross-Lingual Morphological Tagging for Low-Resource Languages
Jan Buys and Jan A. Botha
  Semi-Supervised Learning for Neural Machine Translation
Yong Cheng, Wei Xu, Zhongjun He, Wei He, Hua Wu, Maosong Sun and Yang Liu
  Strategies for Training Large Vocabulary Neural Language Models
Wenlin Chen, David Grangier and Michael Auli
  Predicting the Compositionality of Nominal Compounds: Giving Word Embeddings a Hard Time
Silvio Cordeiro, Carlos Ramisch, Marco Idiart and Aline Villavicencio
  Character-based Neural Machine Translation
Marta R. Costa-jussà and José A. R. Fonollosa
  Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints
Greg Durrett, Taylor Berg-Kirkpatrick and Dan Klein
  Learning Monolingual Compositional Representations via Bilingual Supervision
Ahmed Elgohary and Marine Carpuat
  Set-Theoretic Alignment for Comparable Corpora
Thierry Etchegoyhen and Andoni Azpeitia
  Jointly Learning to Embed and Predict with Multiple Languages
Daniel C. Ferreira, André F. T. Martins and Mariana S. C. Almeida
  Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova and Iryna Gurevych
  Event Nugget Detection with Forward-Backward Recurrent Neural Networks
Reza Ghaeini, Xiaoli Fern, Liang Huang and Prasad Tadepalli
  IBC-C: A Dataset for Armed Conflict Analysis
Andrej Zukov Gregoric, Zhiyuan Luo and Bartal Veyhe
  Efficient techniques for parsing with tree automata
Jonas Groschwitz, Alexander Koller and Mark Johnson
  A Vector Space for Distributional Semantics for Entailment
James Henderson and Diana Popa
  Hidden Softmax Sequence Model for Dialogue Structure Analysis
Zhiyang He, Xien Liu, Ping Lv and Ji Wu
  A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings
Weihua Hu and Jun'ichi Tsujii
  Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung and Luke Zettlemoyer
  Continuous Profile Models in ASL Syntactic Facial Expression Synthesis
Hernisa Kacorri and Matt Huenerfauth
  Evaluating Sentiment Analysis in the Context of Securities Trading
Siavash Kazemian, Shunan Zhao and Gerald Penn
  Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference
Effi Levi, Roi Reichart and Ari Rappoport
  Topic Extraction from Microblog Posts Using Conversation Structures
Jing Li, Ming Liao, Wei Gao, Yulan He and Kam-Fai Wong
  Word Embeddings with Limited Memory
Shaoshi Ling, Yangqiu Song and Dan Roth
  Neural Relation Extraction with Selective Attention over Instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan and Maosong Sun
  Leveraging FrameNet to Improve Automatic Event Detection
Shulin Liu, Yubo Chen, Shizhu He, Kang Liu and Jun Zhao
  Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter
Michal Lukasik, P. K. Srijith, Duy Vu, Kalina Bontcheva, Arkaitz Zubiaga and Trevor Cohn
  Hunting for Troll Comments in News Community Forums
Todor Mihaylov and Preslav Nakov
  Learning To Use Formulas To Solve Simple Arithmetic Problems
Arindam Mitra and Chitta Baral
  Phrase Table Pruning via Submodular Function Maximization
Masaaki Nishino, Jun Suzuki and Masaaki Nagata
  Unravelling Names of Fictional Characters
katerina papantoniou and Stasinos Konstantopoulos
  Most "babies" are "little" and most "problems" are "huge": Compositional Entailment in Adjective-Nouns
Ellie Pavlick and Chris Callison-Burch
  Modeling Stance in Student Essays
Isaac Persing and Vincent Ng
  Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Barbara Plank, Anders Søgaard and Yoav Goldberg
  A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation
Peng Qian, Xipeng Qiu and Xuanjing Huang
  Temporal Anchoring of Events for the TimeBank Corpus
Nils Reimers, Nazanin Dehghani and Iryna Gurevych
  Grammatical Error Correction: Machine Translation and Classifiers
Alla Rozovskaya and Dan Roth
  Recurrent neural network models for disease name recognition using domain invariant features
sunil sahu and Ashish Anand
  Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle, Aline Villavicencio and Marco Idiart
  Domain Adaptation for Authorship Attribution: Improved Structural Correspondence Learning
Upendra Sapkota, Thamar Solorio, Manuel Montes and Steven Bethard
  A Corpus-Based Analysis of Canonical Word Order of Japanese Double Object Constructions
Ryohei Sasano and Manabu Okumura
  Knowledge-Based Semantic Embedding for Machine Translation
Chen Shi, Shujie Liu, Shuo Ren, Shi Feng, Mu Li, Ming Zhou, Xu Sun and Houfeng WANG
  One for All: Towards Language Independent Named Entity Linking
Avirup Sil and Radu Florian
  On Approximately Searching for Similar Word Embeddings
Kohei Sugawara, Hayato Kobayashi and Masajiro Iwasaki
  Composing Distributed Representations of Relational Patterns
Sho Takase, Naoaki Okazaki and Kentaro Inui
  The More Antecedents, the Merrier: Resolving Multi-Antecedent Anaphors
Hardik Vala, Andrew Piper and Derek Ruths
  One model, two languages: training bilingual parsers with harmonized treebanks
David Vilares, Carlos Gómez-Rodríguez and Miguel A. Alonso
  Automatic Labeling of Topic Models Using Text Summaries
Xiaojun Wan and Tianming Wang
  Graph-based Dependency Parsing with Bidirectional LSTM
Wenhui Wang and Baobao Chang
  Using mention accessibility to improve coreference resolution
Kellie Webster and Joel Nothman
  Exploiting Linguistic Features for Sentence Completion
Aubrie Woods
  TransG : A Generative Model for Knowledge Graph Embedding
Han Xiao, Minlie Huang and xiaoyan zhu
  Question Answering on Freebase via Relation Extraction and Textual Evidence
kun xu, Siva Reddy, Yansong Feng, Songfang Huang and Dongyan Zhao
  Convergence of Syntactic Complexity in Conversation
Yang Xu and David Reitter
  Vector-space topic models for detecting Alzheimer's disease
Maria Yancheva and Frank Rudzicz
  Chinese Couplet Generation with Neural Network Structures
Rui Yan, Cheng-Te Li, Xiaohua Hu and Ming Zhang
  User Embedding for Scholarly Microblog Recommendation
Yang Yu, Xiaojun Wan and Xinjie Zhou

Demo Session B

  Personalized Exercises for Preposition Learning
John Lee and Mengqi Luo
  My Science Tutor - Learning Science with a Conversational Virtual Tutor
Sameer Pradhan, Ron Cole and Wayne Ward
  pigeo: a Python Geotagging Tool
Afshin Rahimi, Trevor Cohn and Timothy Baldwin
  Creating Interactive Macaronic Interfaces for Language Learning
Adithya Renduchintala, Rebecca Knowles, Philipp Koehn and Jason Eisner
  Roleo: Visualising Thematic Fit Spaces on the Web
asad sayeed, xudong hong and vera demberg
  MediaGist: a Cross-lingual Analyser of Aggregated News and Commentaries
Josef Steinberger
  GoWvis: a Web Application for Graph-of-Words-based Text Visualization and summarization
Antoine Tixier, Konstantinos Skiannis and Michalis Vazirgiannis
  LiMoSINe Oipeline: Multilingual UIMA-based NLP Platform
Olga Uryupina, Barbara Plank, Gianni Barlacchi, Francisco J. Valverde-Albacete, Manos Tsagkias and Alessandro Moschitti
  new/s/leak - Information Extraction and Visualization for an Investigative Data Journalists
Seid Muhie Yimam, Heiner Ulrich, Tatiana von Landesberger, Marcel Rosenbach, Michaela Regneri, Alexander Panchenko, Franziska Lehmann, Uli Fahrer, Chris Biemann and Kathrin Ballweg