EMNLP 2019

1,120 papers

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction

Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui

Rewarding Coreference Resolvers for Being Consistent with World Knowledge

Rahul Aralikatte, Heather Lent, Ana Valeria González, Daniel Hershcovich, Chen Qiu

Attention Optimization for Abstractive Document Summarization

Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang

The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization

Simeng Sun, Ani Nenkova

Neural Linguistic Steganography

Zachary Ziegler, Yuntian Deng, Alexander Rush

Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling

Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin

Retrofitting Contextualized Word Embeddings with Paraphrases

Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks

Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos

Analytical Methods for Interpretable Ultradense Word Embeddings

Philipp Dufter, Hinrich Schütze

RNN Architecture Learning with Sparse Regularization

Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith

Commonsense Knowledge Mining from Pretrained Models

Joe Davison, Joshua Feldman, Alexander Rush

Robust Text Classifier on Test-Time Budgets

Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets

Mor Geva, Yoav Goldberg, Jonathan Berant

Variable beam search for generative neural parsing and its relevance for the analysis of neuro-imaging signal

Benoit Crabbé, Murielle Fabre, Christophe Pallier

Shiyuan Xiao, Yuanxin Ouyang, Wenge Rong, Jianxin Yang, Zhang Xiong

Look-up and Adapt: A One-shot Semantic Parser

Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom Mitchell

Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing

Tao Meng, Nanyun Peng, Kai-Wei Chang

A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages

Clara Vania, Yova Kementchedjhieva, Anders Søgaard, Adam Lopez

A Bayesian Approach for Sequence Tagging with Crowds

Edwin Simpson, Iryna Gurevych

Entity Projection via Machine Translation for Cross-Lingual NER

Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton

Semantic Role Labeling with Iterative Structure Refinement

Chunchuan Lyu, Shay B. Cohen, Ivan Titov

Tree Transformer: Integrating Tree Structures into Self-Attention

Yaushian Wang, Hung-yi Lee, Yun-Nung Chen

CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding

Yijin Liu, Fandong Meng, Jinchao Zhang, Jie Zhou, Yufeng Chen

A Lexicon-Based Graph Neural Network for Chinese NER

Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu

Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

Zuyi Bao, Rui Huang, Chen Li, Kenny Zhu

Semi-Supervised Semantic Role Labeling with Cross-View Training

Rui Cai, Mirella Lapata

Hierarchical Pointer Net Parsing

Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing

Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank

Meishan Zhang, Yue Zhang, Guohong Fu

Pushing the Limits of Low-Resource Morphological Inflection

Antonios Anastasopoulos, Graham Neubig

Don’t Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction

Paula Czarnowska, Sebastian Ruder, Edouard Grave, Ryan Cotterell, Ann Copestake

Multilingual Neural Machine Translation with Language Clustering

Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin

Towards Understanding Neural Machine Translation with Word Importance

Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael Lyu

Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach

Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat Seng Chua

Dynamic Past and Future for Neural Machine Translation

Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-yu Dai, Jiajun Chen

One Model to Learn Both: Zero Pronoun Prediction and Translation

Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi

A Discriminative Neural Model for Cross-Lingual Word Alignment

Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

Biao Zhang, Ivan Titov, Rico Sennrich

Multi-Granularity Self-Attention for Neural Machine Translation

Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu

Context-Aware Monolingual Repair for Neural Machine Translation

Elena Voita, Rico Sennrich, Ivan Titov

Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages

Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney

Multi-agent Learning for Neural Machine Translation

Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang

Iterative Dual Domain Adaptation for Neural Machine Translation

Jiali Zeng, Yang Liu, Jinsong Su, Yubing Ge, Yaojie Lu

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT

Shijie Wu, Mark Dredze

Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages

Masud Moshtaghi

Modeling Multi-mapping Relations for Precise Cross-lingual Entity Alignment

Xiaofei Shi, Yanghua Xiao

Towards Linear Time Neural Machine Translation with Capsule Networks

Mingxuan Wang, jun xie, Zhixing Tan, Jinsong Su, Deyi Xiong

Improving Back-Translation with Uncertainty-based Confidence Estimation

Shuo Wang, Yang Liu, Chao Wang, Huanbo Luan, Maosong Sun

Latent Part-of-Speech Sequences for Neural Machine Translation

Xuewen Yang, Yingru Liu, Dongliang Xie, Xin Wang, Niranjan Balasubramanian

Explicit Cross-lingual Pre-training for Unsupervised Machine Translation

Shuo Ren, Yu Wu, Shujie LIU, Ming Zhou, Shuai Ma

Effective Use of Transformer Networks for Entity Tracking

Aditya Gupta, Greg Durrett

KnowledgeNet: A Benchmark Dataset for Knowledge Base Population

Filipe Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa

Neural Cross-Lingual Event Detection with Minimal Parallel Resources

Jian Liu, Yubo Chen, Kang Liu, Jun Zhao

Supervising Unsupervised Open Information Extraction Models

Arpita Roy, Youngja Park, Taesung Lee, Shimei Pan

Fine-Grained Evaluation for Entity Linking

Henry Rosales-Méndez, Aidan Hogan, Barbara Poblete

Neural Naturalist: Generating Fine-Grained Image Comparisons

Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma, Serge Belongie

Incorporating Visual Semantics into Sentence Representations within a Grounded Space

Patrick Bordes, Eloi Zablocki, Laure Soulier, Benjamin Piwowarski, Patrick Gallinari

Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning

Khanh Nguyen, Hal Daume III

Learning to Speak and Act in a Fantasy Text Adventure Game

Jack Urbanek, Angela Fan, Siddharth Karamcheti, Saachi Jain, Samuel Humeau

Extracting Possessions from Social Media: Images Complement Language

Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations

Mingda Chen, Zewei Chu, Kevin Gimpel

Parameter-free Sentence Embedding via Orthogonal Basis

Ziyi Yang, Chenguang Zhu, Weizhu Chen

VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling

Andrea Di Fabio, Simone Conia, Roberto Navigli

Syntax-Enhanced Self-Attention-Based Semantic Role Labeling

Yue Zhang, Rui Wang, Luo Si

Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling

Angel Daza, Anette Frank

Sentence-Level Content Planning and Style Specification for Neural Text Generation

Xinyu Hua, Lu Wang

Select and Attend: Towards Controllable Content Selection in Text Generation

Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer

Neural Text Summarization: A Critical Evaluation

Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher

Linking artificial and human neural representations of language

Jon Gauthier, Roger Levy

PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space

Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong

Latent-Variable Generative Models for Data-Efficient Text Classification

Xiaoan Ding, Kevin Gimpel

Enhancing Local Feature Extraction with Global Representation for Neural Text Classification

Guocheng Niu, Hengru Xu, Bolei He, Xinyan Xiao, Hua Wu

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification

Vivian Lai, Zheng Cai, Chenhao Tan

Hierarchical Attention Prototypical Networks for Few-Shot Text Classification

Shengli Sun, Qingfeng Sun, Kevin Zhou, Tengchao Lv

Label-Specific Document Representation for Multi-Label Text Classification

Lin Xiao, Xin Huang, Boli Chen, Liping Jing

Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification

Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao

Hierarchical Text Classification with Reinforced Label Assignment

Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren

Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction

Rujun Han, Qiang Ning, Nanyun Peng

EntEval: A Holistic Evaluation Benchmark for Entity Representations

Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel

Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction

Xiang Deng, Huan Sun

Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping

Jian Ni, Radu Florian

Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction

Yuyun Huang, Jinhua Du

CaRe: Open Knowledge Graph Embeddings

Swapnil Gupta, Sreyash Kenkre, Partha Talukdar

Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning

Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu

A Boundary-aware Neural Model for Nested Named Entity Recognition

Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Guandong Xu

Event Detection with Trigger-Aware Lattice Neural Network

Ning Ding, Ziran Li, Zhiyuan Liu, Haitao Zheng, Zibo Lin

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

Shun Zheng, Wei Cao, Wei Xu, Jiang Bian

Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework

Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu

Cross-lingual Structure Transfer for Relation and Event Extraction

Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-fu Chang

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text

Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla

Learning to Bootstrap for Entity Set Expansion

Lingyong Yan, Xianpei Han, Le Sun, Ben He

Open Event Extraction from Online Text using a Generative Adversarial Network

Rui Wang, Deyu Zhou, Yulan He

Learning Dynamic Context Augmentation for Global Entity Linking

Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang

Low-Resource Name Tagging Learned with Weakly Labeled Data

Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, Wai Lam

Jointly Learning Entity and Relation Representations for Entity Alignment

Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Dongyan Zhao

Improving Relation Extraction with Knowledge-attention

Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data

Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu

Leveraging Dependency Forest for Neural Medical Relation Extraction

Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang