EMNLP 2019

1,120 papers

A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers

Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime Carbonell

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu

DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization

Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, Jun Xiao

YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension

Weiying Wang, Yongcheng Wang, Shizhe Chen, Qin Jin

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues

Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Changshui Zhang

Phrase Grounding by Soft-Label Chain Conditional Random Field

Jiacheng Liu, Julia Hockenmaier

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Hao Tan, Mohit Bansal

A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features

Hongyin Tang, Miao Li, Beihong Jin

Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation

Ze Yang, Can Xu, Wei Wu, Zhoujun Li

Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation

Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang

Encode, Tag, Realize: High-Precision Text Editing

Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn

Counterfactual Story Reasoning and Generation

LIANHUI Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph

Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, zhongyu wei

Subword Language Model for Query Auto-Completion

Gyuwan Kim

PRADO: Projection Attention Networks for Document Classification On-Device

Prabhu Kaliamoorthi, Sujith Ravi, Zornitsa Kozareva

Modeling the Relationship between User Comments and Edits in Document Revision

Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, ChangTien Lu

Moontae Lee, Sungjun Cho, David Bindel, David Mimno

Learning to Infer Entities, Properties and their Relations from Clinical Conversations

Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran

Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks

Hailong Jin, Lei Hou, Juanzi Li, Tiansi Dong

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation

Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang

Question Answering for Privacy Policies: Combining Computational and Legal Perspectives

Abhilasha Ravichander, Alan W Black, Shomir Wilson, Thomas Norton, Norman Sadeh

Semi-supervised Text Style Transfer: Cross Projection in Latent Space

Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou

A Neural Citation Count Prediction Model based on Peer Review Text

Siqing Li, Wayne Xin Zhao, Eddy Jing Yin, Ji-Rong Wen

Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification

Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang

Event Representation Learning Enhanced with External Commonsense Knowledge

Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network

Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang

Neural News Recommendation with Heterogeneous User Behavior

Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang

Leveraging Medical Literature for Section Prediction in Electronic Health Records

Sara Rosenthal, Ken Barker, Zhicheng Liang

Recursive Context-Aware Lexical Simplification

Sian Gooding, Ekaterina Kochmar

News2vec: News Network Embedding with Subnode Information

Ye Ma, Lu Zong, Yikang Yang, Jionglong Su

Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts

Elissa Redmiles, Lisa Maszkiewicz, Emily Hwang, Dhruv Kuchhal, Everest Liu

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li

Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network

Shuqing Bian, Wayne Xin Zhao, Yang Song, Tao Zhang, Ji-Rong Wen

Reconstructing Capsule Networks for Zero-shot Intent Classification

Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai LI

Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity

Penghui Wei, Nan Xu, Wenji Mao

CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums

Ella Rabinovich, Masih Sultani, Suzanne Stevenson

Detecting and Reducing Bias in a High Stakes Domain

Ruiqi Zhong, Yanda Chen, Desmond Patton, Charlotte Selous, Kathy McKeown

A Benchmark Dataset for Learning to Intervene in Online Hate Speech

Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang

Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop

Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil

A Hierarchical Location Prediction Neural Network for Twitter User Geolocation

Binxuan Huang, Kathleen Carley

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis

Shrey Desai, Barea Sinno, Alex Rosenfeld, Junyi Jessy Li

You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP

Marco Del Tredici, Diego Marcheggiani, Sabine Schulte im Walde, Raquel Fernández

A Deep Neural Information Fusion Architecture for Textual Network Embeddings

Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen

Multilingual and Multi-Aspect Hate Speech Analysis

Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung

Detecting Causal Language Use in Science Findings

Bei Yu, Yingya Li, Jun Wang

Text-based inference of moral sentiment change

Jing Yi Xie, Renato Ferreira Pinto Junior, Graeme Hirst, Yang Xu

Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection

Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun

Neural Conversation Recommendation with Online Interaction Modeling

Xingshan Zeng, Jing Li, Lu Wang, Kam-Fai Wong

Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts

Julia Kruk, Jonah Lubin, Karan Sikka, Xiao Lin, Dan Jurafsky

Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training

Giannis Karamanolakis, Daniel Hsu, Luis Gravano

CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis

Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning

Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang

Coupling Global and Local Context for Unsupervised Aspect Extraction

Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

Chen Zhang, Qiuchi Li, Dawei Song

Task-Oriented Conversation Generation Using Heterogeneous Memory Networks

Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang

GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue

Jun Quan, Deyi Xiong, Bonnie Webber, Changjian Hu

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Emily Dinan, Samuel Humeau, Bharath Chintagunta, Jason Weston

Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data

Denis Peskov, Nancy Clarke, Jason Krone, Brigi Fodor, Yi Zhang

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text

Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark

Posing Fair Generalization Tasks for Natural Language Inference

Atticus Geiger, Ignacio Cases, Lauri Karttunen, Christopher Potts

Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning

Yichen Jiang, Mohit Bansal

Social IQa: Commonsense Reasoning about Social Interactions

Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, Yejin Choi

Jointly Learning to Align and Translate with Transformer Models

Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, Matthias Paulik

Contrastive Language Adaptation for Cross-Lingual Stance Detection

Mitra Mohtarami, James Glass, Preslav Nakov

Aligning Cross-Lingual Entities with Multi-Aspect Information

Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin

Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings

Haozhou Wang, James Henderson, Paola Merlo

Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?

Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives

Elena Voita, Rico Sennrich, Ivan Titov

Countering Language Drift via Visual Grounding

Jason Lee, Kyunghyun Cho, Douwe Kiela

Machine Translation With Weakly Paired Documents

Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin

Revealing the Dark Secrets of BERT

Olga Kovaleva, Alexey Romanov, Anna Rogers, Anna Rumshisky

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification

Jiawei Wu, Wenhan Xiong, William Yang Wang

Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel

Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov

Neural Gaussian Copula for Variational Autoencoder

Prince Zizhuang Wang, William Yang Wang

Patient Knowledge Distillation for BERT Model Compression

Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu

Identifying and Explaining Discriminative Attributes

Armins Stepanjans, Andre Freitas

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution

Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom

Compositional Generalization for Primitive Substitutions

Yuanpeng Li, Liang Zhao, Jianyu Wang, Joel Hestness

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard Hovy

ARAML: A Stable Adversarial Training Framework for Text Generation

Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu

Parallel Iterative Edit Models for Local Sequence Transduction

Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

John P. Lalor, Hao Wu, Hong Yu

Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling

Xiaochuang Han, Jacob Eisenstein

Distributionally Robust Language Modeling

Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen

Exploiting Monolingual Data at Scale for Neural Machine Translation

Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai

Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation

Huiyun Yang, Shujian Huang, Xin-yu Dai, Jiajun Chen

Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs

Angela Fan, Claire Gardent, Chloé Braud, Antoine Bordes

Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training

Hila Gonen, Yoav Goldberg

Learning to Ask for Conversational Machine Learning

Shashank Srivastava, Igor Labutov, Tom Mitchell

Topics to Avoid: Demoting Latent Confounds in Text Classification

Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov

Visualizing and Understanding the Effectiveness of BERT

Yaru Hao, Li Dong, Furu Wei, Ke Xu

Certified Robustness to Adversarial Word Substitutions

Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang

Hierarchically-Refined Label Attention Network for Sequence Labeling

Leyang Cui, Yue Zhang

Experimenting with Power Divergences for Language Modeling

Matthieu Labeau, Shay B. Cohen

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

Mo Yu, Shiyu Chang, Yang Zhang, Tommi Jaakkola