EMNLP 2017

353 papers

Learning Translations via Matrix Completion

Derry Tanti Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling

Massive Exploration of Neural Machine Translation Architectures

Denny Britz, Anna Goldie, Minh-Thang Luong, Quoc Le

Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation

Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu

Translating Phrases in Neural Machine Translation

Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang

Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search

Leonard Dahlmann, Evgeny Matusov, Pavel Petrushkov, Shahram Khadivi

Dynamic Data Selection for Neural Machine Translation

Marlies van der Wees, Arianna Bisazza, Christof Monz

Memory-augmented Neural Machine Translation

Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel

Neural Lattice-to-Sequence Models for Uncertain Inputs

Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel

Identifying attack and support argumentative relations using deep learning

Oana Cocarascu, Francesca Toni

Here’s My Point: Joint Pointer Architecture for Argument Mining

Peter Potash, Alexey Romanov, Anna Rumshisky

Using Argument-based Features to Predict and Analyse Review Helpfulness

Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng

Patterns of Argumentation Strategies across Topics

Khalid Al-Khatib, Henning Wachsmuth, Matthias Hagen, Benno Stein

GRASP: Rich Patterns for Argumentation Mining

Eyal Shnarch, Ran Levy, Vikas Raykar, Noam Slonim

Learning to Rank Semantic Coherence for Topic Segmentation

Liang Wang, Sujian Li, Yajuan Lv, Houfeng Wang

Revisiting Selectional Preferences for Coreference Resolution

Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube

What is it? Disambiguating the different readings of the pronoun ‘it’

Sharid Loáiciga, Liane Guillou, Christian Hardmeier

How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT

Mathieu Morey, Philippe Muller, Nicholas Asher

Chinese Zero Pronoun Resolution with Deep Memory Network

Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu

Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification

Man Lan, Jianxiang Wang, Yuanbin Wu, Zheng-Yu Niu, Haifeng Wang

Learning Contextually Informed Representations for Linear-Time Discourse Parsing

Yang Liu, Mirella Lapata

Predicting Word Association Strengths

Andrew Cattle, Xiaojuan Ma

An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective

Jie Zhao, Yu Su, Ziyu Guan, Huan Sun

AMR Parsing using Stack-LSTMs

Miguel Ballesteros, Yaser Al-Onaizan

Getting the Most out of AMR Parsing

Chuan Wang, Nianwen Xue

A Joint Sequential and Relational Model for Frame-Semantic Parsing

Bishan Yang, Tom Mitchell

Cross-domain Semantic Parsing via Paraphrasing

Yu Su, Xifeng Yan

A Continuously Growing Dataset of Sentential Paraphrases

Wuwei Lan, Siyu Qiu, Hua He, Wei Xu

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing

Yuchen Zhang, Panupong Pasupat, Percy Liang

Idiom-Aware Compositional Distributed Semantics

Pengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang

A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances

Chengyu Wang, Xiaofeng He, Aoying Zhou

Inter-Weighted Alignment Network for Sentence Pair Modeling

Gehui Shen, Yunlun Yang, Zhi-Hong Deng

Learning Word Relatedness over Time

Guy D. Rosin, Eytan Adar, Kira Radinsky

Neural Sequence Learning Models for Word Sense Disambiguation

Alessandro Raganato, Claudio Delli Bovi, Roberto Navigli

Human Centered NLP with User-Factor Adaptation

Veronica Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz

Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models

Haim Dubossarsky, Daphna Weinshall, Eitan Grossman

Deeper Attention to Abusive User Content Moderation

John Pavlopoulos, Prodromos Malakasiotis, Ion Androutsopoulos

ConStance: Modeling Annotation Contexts to Improve Stance Classification

Kenneth Joseph, Lisa Friedland, William Hobbs, David Lazer, Oren Tsur

Tensor Fusion Network for Multimodal Sentiment Analysis

Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency

Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video

Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong

Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain

Luana Bulat, Stephen Clark, Ekaterina Shutova

Speech segmentation with a neural encoder model of working memory

Micha Elsner, Cory Shain

Globally Normalized Reader

Jonathan Raiman, John Miller

PACRR: A Position-Aware Neural IR Model for Relevance Matching

Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo

Importance sampling for unbiased on-demand evaluation of knowledge base population

Arun Chaganty, Ashwin Paranjape, Percy Liang, Christopher D. Manning

A Structured Learning Approach to Temporal Relation Extraction

Qiang Ning, Zhili Feng, Dan Roth

An analysis of eye-movements during reading for the detection of mild cognitive impairment

Kathleen C. Fraser, Kristina Lundholm Fors, Dimitrios Kokkinakis, Arto Nordlund

Mapping Instructions and Visual Observations to Actions with Reinforcement Learning

Dipendra Misra, John Langford, Yoav Artzi

Incorporating Global Visual Features into Attention-based Neural Machine Translation.

Iacer Calixto, Qun Liu

Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering

Jesse Mu, Joshua K. Hartshorne, Timothy O’Donnell

Reinforced Video Captioning with Entailment Rewards

Ramakanth Pasunuru, Mohit Bansal

Video Highlight Prediction Using Audience Chat Reactions

Cheng-Yang Fu, Joon Lee, Mohit Bansal, Alexander Berg

Hierarchically-Attentive RNN for Album Summarization and Storytelling

Licheng Yu, Mohit Bansal, Tamara Berg

Deriving continous grounded meaning representations from referentially structured multimodal contexts

Sina Zarrieß, David Schlangen

Zero-Shot Activity Recognition with Verb Attribute Induction

Rowan Zellers, Yejin Choi

Guided Open Vocabulary Image Captioning with Constrained Beam Search

Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould

The Promise of Premise: Harnessing Question Premises in Visual Question Answering

Aroma Mahendru, Viraj Prabhu, Akrit Mohapatra, Dhruv Batra, Stefan Lee

Sound-Word2Vec: Learning Word Representations Grounded in Sounds

Ashwin Vijayakumar, Ramakrishna Vedantam, Devi Parikh

An empirical study on the effectiveness of images in Multimodal Neural Machine Translation

Jean-Benoit Delbrouck, Stéphane Dupont

Recovering Question Answering Errors via Query Revision

Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan

Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model

Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti

Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture

Yuanliang Meng, Anna Rumshisky, Alexey Romanov

Learning to Paraphrase for Question Answering

Li Dong, Jonathan Mallinson, Siva Reddy, Mirella Lapata

Question Generation for Question Answering

Nan Duan, Duyu Tang, Peng Chen, Ming Zhou

Latent Space Embedding for Retrieval in Question-Answer Archives

Deepak P, Dinesh Garg, Shirish Shevade

Deep Neural Solver for Math Word Problems

Yan Wang, Xiaojiang Liu, Shuming Shi

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

David Golub, Po-Sen Huang, Xiaodong He, Li Deng

World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions

Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit CHEUNG, Doina Precup

Structural Embedding of Syntactic Trees for Machine Comprehension

Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg

Learning Fine-Grained Expressions to Solve Math Word Problems

Danqing Huang, Shuming Shi, Chin-Yew Lin, Jian Yin

Beyond Sentential Semantic Parsing: Tackling the Math SAT with a Cascade of Tree Transducers

Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti

RACE: Large-scale ReAding Comprehension Dataset From Examinations

Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard Hovy

From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems

Mrinmaya Sachan, Kumar Dubey, Eric Xing

Segmentation-Free Word Embedding for Unsegmented Languages

Takamasa Oshikiri

Word-Context Character Embeddings for Chinese Word Segmentation

Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xinyu Dai

Cross-lingual Character-Level Neural Morphological Tagging

Ryan Cotterell, Georg Heigold

The Labeled Segmentation of Printed Books

Lara McConnaughey, Jennifer Dai, David Bamman

Do LSTMs really work so well for PoS tagging? – A replication study

Tobias Horsmann, Torsten Zesch

A Sub-Character Architecture for Korean Language Processing

Karl Stratos

Paradigm Completion for Derivational Morphology

Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky

Don’t Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic

Nasser Zalmout, Nizar Habash

Multi-Grained Chinese Word Segmentation

Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang

Determining Semantic Textual Similarity using Natural Deduction Proofs

Hitomi Yanaka, Koji Mineshima, Pascual Martínez-Gómez, Daisuke Bekki

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Alexis CONNEAU, Douwe Kiela, Holger Schwenk, Loic Barrault, Antoine Bordes

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations

Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick

Measuring Thematic Fit with Distributional Feature Overlap

Enrico Santus, Emmanuele Chersoni, Alessandro Lenci, Philippe Blache

Filling the Blanks (hint: plural noun) for Mad Libs Humor

Nabil Hossain, John Krumm, Lucy Vanderwende, Eric Horvitz, Henry Kautz

A Hybrid Convolutional Variational Autoencoder for Text Generation

Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth

Neural Response Generation via GAN with an Approximate Embedding Layer

Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang

Split and Rephrase

Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina

Learning how to Active Learn: A Deep Reinforcement Learning Approach

Meng Fang, Yuan Li, Trevor Cohn

Sentence Simplification with Deep Reinforcement Learning

Xingxing Zhang, Mirella Lapata

Task-Oriented Query Reformulation with Reinforcement Learning

Rodrigo Nogueira, Kyunghyun Cho

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

Wenhan Xiong, Thien Hoang, William Yang Wang

Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association

Yasheng Wang, Yang Zhang, Bing Liu

Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings

Raksha Sharma, Arpan Somani, Lakshya Kumar, Pushpak Bhattacharyya

A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis

Md Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya

Refining Word Embeddings for Sentiment Analysis

Liang-Chih Yu, Jin Wang, K. Robert Lai, Xuejie Zhang

Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters

Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao

Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network

Zi-Yi Dou

Towards a Universal Sentiment Classifier in Multiple languages

Kui Xu, Xiaojun Wan