EMNLP 2018

1,049 papers

Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Jason Lee, Elman Mansimov, Kyunghyun Cho

The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions

Salvatore Giorgi, Daniel Preoţiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle Ungar

Fine-Grained Emotion Detection in Health-Related Online Posts

Hamed Khanpour, Cornelia Caragea

Somm: Into the Model

Shengli Hu

Identifying Locus of Control in Social Media Language

Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone

Ryuji Kano, Yasuhide Miura, Motoki Taniguchi, Yan-Ying Chen, Francine Chen

Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging

Nayeon Lee, Chien-Sheng Wu, Pascale Fung

Is Nike female? Exploring the role of sound symbolism in predicting brand name gender

Sridhar Moorthy, Ruth Pogacar, Samin Khan, Yang Xu

Syntactical Analysis of the Weaknesses of Sentiment Analyzers

Rohil Verma, Samuel Kim, David Walter

Representing Social Media Users for Sarcasm Detection

Y. Alex Kolchinski, Christopher Potts

Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks

Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth

Learning Sentiment Memories for Sentiment Modification without Parallel Data

Yi Zhang, Jingjing Xu, Pengcheng Yang, Xu Sun

Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network

Jianfei Yu, Luís Marujo, Jing Jiang, Pradeep Karuturi, William Brendel

Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification

Binxuan Huang, Kathleen Carley

Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set

Radu Tudor Ionescu, Andrei M. Butnaru

A dataset and baselines for sequential open-domain question answering

Ahmed Elgohary, Chen Zhao, Jordan Boyd-Graber

Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection

Massimo Nicosia, Alessandro Moschitti

Translating a Math Word Problem to a Expression Tree

Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu

Adversarial Domain Adaptation for Duplicate Question Detection

Darsh Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov

Entity Tracking Improves Cloze-style Reading Comprehension

Luong Hoang, Sam Wiseman, Alexander Rush

Facts That Matter

Marco Ponza, Luciano Del Corro, Gerhard Weikum

Do explanations make VQA models more predictable to a human?

Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh

Exploiting Contextual Information via Dynamic Memory Network for Event Detection

Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng

Effective Use of Context in Noisy Entity Linking

David Mueller, Greg Durrett

Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction

Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji

A Neural Transition-based Model for Nested Mention Recognition

bailin wang, Wei Lu, Yu Wang, Hongxia Jin

PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages

Yiqing Zhang, Jianzhong Qi, Rui Zhang, Chuandong Yin

Event Detection with Neural Networks: A Rigorous Empirical Evaluation

Walker Orr, Prasad Tadepalli, Xiaoli Fern

Put It Back: Entity Typing with Language Model Enhancement

Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction

Ningyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen, Wei Zhang

How agents see things: On visual representations in an emergent language game

Diane Bouchacourt, Marco Baroni

Cascaded Mutual Modulation for Visual Reasoning

Yiqun Yao, Jiaming Xu, Feng Wang, Bo Xu

A Dataset for Telling the Stories of Social Media Videos

Spandana Gella, Mike Lewis, Marcus Rohrbach

Toward Fast and Accurate Neural Discourse Segmentation

Yizhong Wang, Sujian Li, Jingfeng Yang

Conversational Decision-Making Model for Predicting the King’s Decision in the Annals of the Joseon Dynasty

JinYeong Bak, Alice Oh

Neural-Davidsonian Semantic Proto-role Labeling

Rachel Rudinger, Adam Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme

Generating Syntactic Paraphrases

Emilie Colin, Claire Gardent

SQL-to-Text Generation with Graph-to-Sequence Model

Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Vadim Sheinin

Retrieval-Based Neural Code Generation

Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model

Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen

Convolutional Neural Networks with Recurrent Neural Filters

Yi Yang

Towards Dynamic Computation Graphs via Sparse Latent Structure

Vlad Niculae, André F. T. Martins, Claire Cardie

A Deep Neural Network Sentence Level Classification Method with Context Information

Xingyi Song, Johann Petrak, Angus Roberts

Supervised Domain Enablement Attention for Personalized Domain Classification

Joo-Kyung Kim, Young-Bum Kim

Compact Personalized Models for Neural Machine Translation

Joern Wuebker, Patrick Simianer, John DeNero

Rapid Adaptation of Neural Machine Translation to New Languages

Graham Neubig, Junjie Hu

Decipherment of Substitution Ciphers with Neural Language Models

Nishant Kambhatla, Anahita Mansouri Bigvand, Anoop Sarkar

Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder

Yunsu Kim, Jiahui Geng, Hermann Ney

SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation

Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig

Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents

Abhijith Athreya Mysore Gopinath, Shomir Wilson, Norman Sadeh

Topic Intrusion for Automatic Topic Model Evaluation

Shraey Bhatia, Jey Han Lau, Timothy Baldwin

Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models

Daniel Watson, Nasser Zalmout, Nizar Habash

Coherence-Aware Neural Topic Modeling

Ran Ding, Ramesh Nallapati, Bing Xiang

Labeled Anchors and a Scalable, Transparent, and Interactive Classifier

Jeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales, Kevin Seppi

A Hierarchical Neural Attention-based Text Classifier

Koustuv Sinha, Yue Dong, Jackie Chi Kit CHEUNG, Derek Ruths

HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization

Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto

Self-Governing Neural Networks for On-Device Short Text Classification

Sujith Ravi, Zornitsa Kozareva

Identifying Well-formed Natural Language Questions

Manaal Faruqui, Dipanjan Das

Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning

Yucheng Wang, zhongyu wei, Yaqian Zhou, Xuanjing Huang

On the Abstractiveness of Neural Document Summarization

Fangfang Zhang, Jin-ge Yao, Rui Yan

Neural Latent Extractive Document Summarization

Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou

Evaluating Multiple System Summary Lengths: A Case Study

Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer

Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation

Hardy, Andreas Vlachos

A Graph-theoretic Summary Evaluation for ROUGE

Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond Wong, Fang Chen

Training for Diversity in Image Paragraph Captioning

Luke Melas-Kyriazi, Alexander Rush, George Han

Improving Reinforcement Learning Based Image Captioning with Natural Language Prior

Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai

S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information

Jiaxin Pei, Chenliang Li

BLEU is Not Suitable for the Evaluation of Text Simplification

Elior Sulem, Omri Abend, Ari Rappoport

Learning To Split and Rephrase From Wikipedia Edit History

Jan A. Botha, Manaal Faruqui, John Alex, Jason Baldridge, Dipanjan Das

Using active learning to expand training data for implicit discourse relation recognition

Yang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang

Listening Comprehension over Argumentative Content

Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor

Out-of-domain Detection based on Generative Adversarial Network

Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee

A Dataset for Document Grounded Conversations

Kangyan Zhou, Shrimai Prabhumoye, Alan W Black

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation

Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun

Modeling Temporality of Human Intentions by Domain Adaptation

Xiaolei Huang, Lixing Liu, Kate Carey, Joshua Woolley, Stefan Scherer

Extending Neural Generative Conversational Model using External Knowledge Sources

Prasanna Parthasarathi, Joelle Pineau

Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning

Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun

A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation

Jingyuan Li, Xiao Sun

Increasing In-Class Similarity by Retrofitting Embeddings with Demographic Information

Dirk Hovy, Tommaso Fornaciari

Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates

Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu

Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning

Sotiris Lamprinidis, Daniel Hardt, Dirk Hovy

Exploring Optimism and Pessimism in Twitter Using Deep Learning

Cornelia Caragea, Liviu P. Dinu, Bogdan Dumitru

Joint Learning for Emotion Classification and Emotion Cause Detection

Ying Chen, Wenjun Hou, Xiyao Cheng, Shoushan Li

Surprisingly Easy Hard-Attention for Sequence to Sequence Learning

Shiv Shankar, Siddhant Garg, Sunita Sarawagi

Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification

Ryo Masumura, Yusuke Shinohara, Ryuichiro Higashinaka, Yushi Aono

Learning Unsupervised Word Translations Without Adversaries

Tanmoy Mukherjee, Makoto Yamada, Timothy Hospedales

Unsupervised Bilingual Lexicon Induction via Latent Variable Models

Zi-Yi Dou, Zhi-Hao Zhou, Shujian Huang

Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

Barbara Plank, Željko Agić

Neural Metaphor Detection in Context

Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer

Generalizing Word Embeddings using Bag of Subwords

Jinman Zhao, Sidharth Mudgal, Yingyu Liang

Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space

Koki Washio, Tsuneaki Kato

Quantifying Context Overlap for Training Word Embeddings

Yimeng Zhuang, Jinghui Xie, Yinhe Zheng, Xuan Zhu

Why is unsupervised alignment of English embeddings from different algorithms so hard?

Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard

Adaptive Document Retrieval for Deep Question Answering

Bernhard Kratzwald, Stefan Feuerriegel

Cut to the Chase: A Context Zoom-in Network for Reading Comprehension

Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back, Heriberto Cuayáhuitl

Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

Jinhyuk Lee, Seongjun Yun, Hyunjae Kim, Miyoung Ko, Jaewoo Kang

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension

Minjoon Seo, Tom Kwiatkowski, Ankur Parikh, Ali Farhadi, Hannaneh Hajishirzi

SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach

Michael Petrochuk, Luke Zettlemoyer

MTNT: A Testbed for Machine Translation of Noisy Text

Paul Michel, Graham Neubig

Improving the Transformer Translation Model with Document-Level Context

Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu