EMNLP 2017

353 papers

Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision

Haoruo Peng, Ming-Wei Chang, Wen-tau Yih

Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem

Masumi Shirakawa, Takahiro Hara, Takuya Maekawa

Assessing Objective Recommendation Quality through Political Forecasting

H. Andrew Schwartz, Masoud Rouhizadeh, Michael Bishop, Philip Tetlock, Barbara Mellers

Topic Signatures in Political Campaign Speeches

Clement Gautrais, Peggy Cellier, René Quiniou, Alexandre Termier

Controlling Human Perception of Basic User Traits

Daniel Preoţiuc-Pietro, Sharath Chandra Guntuku, Lyle Ungar

Connotation Frames of Power and Agency in Modern Films

Maarten Sap, Marcella Cindy Prasettio, Ari Holtzman, Hannah Rashkin, Yejin Choi

Distinguishing Japanese Non-standard Usages from Standard Ones

Tatsuya Aoki, Ryohei Sasano, Hiroya Takamura, Manabu Okumura

Argument Mining on Twitter: Arguments, Facts and Sources

Mihai Dusmanu, Elena Cabrio, Serena Villata

Dimensions of Interpersonal Relationships: Corpus and Experiments

Farzana Rashid, Eduardo Blanco

A Factored Neural Network Model for Characterizing Online Discussions in Vector Space

Hao Cheng, Hao Fang, Mari Ostendorf

Demographic-aware word associations

Aparna Garimella, Carmen Banea, Rada Mihalcea

Multi-View Unsupervised User Feature Embedding for Social Media-based Substance Use Prediction

Tao Ding, Warren K. Bickel, Shimei Pan

All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media

Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee

Challenges in Data-to-Document Generation

Sam Wiseman, Stuart Shieber, Alexander Rush

Why We Need New Evaluation Metrics for NLG

Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, Verena Rieser

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning

Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz

Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars

Arash Eshghi, Igor Shalyminov, Oliver Lemon

Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models

Yuanlong Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope

Affordable On-line Dialogue Policy Learning

Cheng Chang, Runzhe Yang, Lu Chen, Xiang Zhou, Kai Yu

Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems

Lili Yao, Yaoyuan Zhang, Yansong Feng, Dongyan Zhao, Rui Yan

Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences

Yohan Jo, Michael Yoder, Hyeju Jang, Carolyn Rose

Using Context Information for Dialog Act Classification in DNN Framework

Yang Liu, Kun Han, Zhao Tan, Yun Lei

Adversarial Learning for Neural Dialogue Generation

Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter

Preserving Distributional Information in Dialogue Act Classification

Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari

Steering Output Style and Topic in Neural Response Generation

Di Wang, Nebojsa Jojic, Chris Brockett, Eric Nyberg

When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)

Liang Huang, KAI ZHAO, Mingbo Ma

Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events

Prafulla Kumar Choubey, Ruihong Huang

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank

KAI ZHAO, Liang Huang

Towards Automatic Construction of News Overview Articles by News Synthesis

Jianmin Zhang, Xiaojun Wan

Extractive Summarization Using Multi-Task Learning with Document Classification

Masaru Isonuma, Toru Fujino, Junichiro Mori, Yutaka Matsuo, Ichiro Sakata

Deep Recurrent Generative Decoder for Abstractive Text Summarization

Piji Li, Wai Lam, Lidong Bing, Zihao Wang

Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization

Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li

Break it Down for Me: A Study in Automated Lyric Annotation

Lucas Sterckx, Jason Naradowsky, Bill Byrne, Thomas Demeester, Chris Develder

Identifying Where to Focus in Reading Comprehension for Neural Question Generation

Xinya Du, Claire Cardie

What is the Essence of a Claim? Cross-Domain Claim Identification

Johannes Daxenberger, Steffen Eger, Ivan Habernal, Christian Stab, Iryna Gurevych

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension

Yichun Yin, Yangqiu Song, Ming Zhang

Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension

Hongyu Lin, Le Sun, Xianpei Han

Adversarial Examples for Evaluating Reading Comprehension Systems

Robin Jia, Percy Liang

Accurate Supervised and Semi-Supervised Machine Reading for Long Documents

Daniel Hewlett, Llion Jones, Alexandre Lacoste, Izzeddin Gur

Identifying Semantic Edit Intentions from Revisions in Wikipedia

Diyi Yang, Aaron Halfaker, Robert Kraut, Eduard Hovy

Fine Grained Citation Span for References in Wikipedia

Besnik Fetahu, Katja Markert, Avishek Anand

Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features

Fan Yang, Arjun Mukherjee, Eduard Dragut

Trainable Greedy Decoding for Neural Machine Translation

Jiatao Gu, Kyunghyun Cho, Victor O.K. Li

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima’an

Unfolding and Shrinking Neural Machine Translation Ensembles

Felix Stahlberg, Bill Byrne

Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction

Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher

CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles

Chenguang Wang, Alan Akbik, Laura Chiticariu, Yunyao Li, Fei Xia

Finding Patterns in Noisy Crowds: Regression-based Annotation Aggregation for Crowdsourced Data

Natalie Parde, Rodney Nielsen

Adapting Topic Models using Lexical Associations with Tree Priors

Weiwei Yang, Jordan Boyd-Graber, Philip Resnik

Shortest-Path Graph Kernels for Document Similarity

Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis

Initializing Convolutional Filters with Semantic Features for Text Classification

Shen Li, Zhe Zhao, Tao Liu, Renfen Hu, Xiaoyong Du

Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels

Lea Frermann, György Szarvas

Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones

Zhenisbek Assylbekov, Rustem Takhanov, Bagdat Myrzakhmetov, Jonathan N. Washington

A Simple Language Model based on PMI Matrix Approximations

Oren Melamud, Ido Dagan, Jacob Goldberger

Reference-Aware Language Models

Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling

Towards Quantum Language Models

Ivano Basile, Fabio Tamburini

Dynamic Entity Representations in Neural Language Models

Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith

Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants

Andrey Kutuzov, Erik Velldal, Lilja Øvrelid

Exploring Vector Spaces for Semantic Relations

Kata Gábor, Haïfa Zargayouna, Isabelle Tellier, Davide Buscaldi, Thierry Charnois

Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective

Qing Zhang, Houfeng Wang

Deep Residual Learning for Weakly-Supervised Relation Extraction

Yi Yao Huang, William Yang Wang

A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events

Prafulla Kumar Choubey, Ruihong Huang

A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction

Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui

Context-Aware Representations for Knowledge Base Relation Extraction

Daniil Sorokin, Iryna Gurevych

Adversarial Training for Relation Extraction

Yi Wu, David Bamman, Stuart Russell

Incorporating Relation Paths in Neural Relation Extraction

Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun

Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations

Goran Glavaš, Simone Paolo Ponzetto

Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short

Jay Pujara, Eriq Augustine, Lise Getoor

KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs

Prakhar Ojha, Partha Talukdar

End-to-End Neural Relation Extraction with Global Optimization

Meishan Zhang, Yue Zhang, Guohong Fu

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

Heike Adel, Hinrich Schütze

TAG Parsing with Neural Networks and Vector Representations of Supertags

Jungo Kasai, Robert Frank, R. Thomas McCoy, Owen Rambow, Alexis Nasr

Semi-supervised Structured Prediction with Neural CRF Autoencoder

Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser

Effective Inference for Generative Neural Parsing

Mitchell Stern, Daniel Fried, Dan Klein

Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition

Yong Jiang, Wenjuan Han, Kewei Tu

Dependency Grammar Induction with Neural Lexicalization and Big Training Data

Wenjuan Han, Yong Jiang, Kewei Tu

Stack-based Multi-layer Attention for Transition-based Dependency Parsing

Zhirui Zhang, Shujie LIU, Mu Li, Ming Zhou, Enhong Chen

Neural Discontinuous Constituency Parsing

Miloš Stanojević, Raquel G. Alhama

Incremental Graph-based Neural Dependency Parsing

Xiaoqing Zheng

Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence

Caio Corro, Joseph Le Roux, Mathieu Lacroix

CRF Autoencoder for Unsupervised Dependency Parsing

Jiong Cai, Yong Jiang, Kewei Tu

Opinion Recommendation Using A Neural Model

Zhongqing Wang, Yue Zhang

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, Sune Lehmann

Story Comprehension for Predicting What Happens Next

Snigdha Chaturvedi, Haoruo Peng, Dan Roth

A Question Answering Approach for Emotion Cause Extraction

Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu

“i have a feeling trump will win..................”: Forecasting Winners and Losers from User Predictions on Twitter

Sandesh Swamy, Alan Ritter, Marie-Catherine de Marneffe

Detecting Perspectives in Political Debates

David Vilares, Yulan He

Asking too much? The rhetorical role of questions in political discourse

Justine Zhang, Arthur Spirling, Cristian Danescu-Niculescu-Mizil

Identifying civilians killed by police with distantly supervised entity-event extraction

Katherine Keith, Abram Handler, Michael Pinkham, Cara Magliozzi, Joshua McDuffie

Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection

Marek Rei, Luana Bulat, Douwe Kiela, Ekaterina Shutova

Joint Concept Learning and Semantic Parsing from Natural Language Explanations

Shashank Srivastava, Igor Labutov, Tom Mitchell

Neural Semantic Parsing with Type Constraints for Semi-Structured Tables

Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

Diego Marcheggiani, Ivan Titov

Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning

Tobias Domhan, Felix Hieber

Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms

Yin-Wen Chang, Michael Collins

Regularization techniques for fine-tuning in neural machine translation

Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, Rico Sennrich

Instance Weighting for Neural Machine Translation Domain Adaptation

Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, Eiichiro Sumita

Towards Compact and Fast Neural Machine Translation Using a Combined Method

Xiaowei Zhang, Wei Chen, Feng Wang, Shuang Xu, Bo Xu

Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback

Khanh Nguyen, Hal Daume III, Jordan Boyd-Graber