EMNLP 2019

1,120 papers

Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation

Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama

Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases

Christopher Clark, Mark Yatskar, Luke Zettlemoyer

Sampling Bias in Deep Active Classification: An Empirical Study

Ameya Prabhu, Charles Dognin, Maneesh Singh

Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation

Dong Qian, William K. Cheung

Auditing Deep Learning processes through Kernel-based Explanatory Models

Danilo Croce, Daniele Rossini, Roberto Basili

Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction

Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo Cecchi

Dialog Intent Induction with Deep Multi-View Clustering

Hugh Perkins, Yi Yang

Denoising based Sequence-to-Sequence Pre-training for Text Generation

Liang Wang, Wei Zhao, Ruoyu Jia, Sujian Li, Jingming Liu

Learning Only from Relevant Keywords and Unlabeled Documents

Nontawat Charoenphakdee, Jongyeong Lee, Yiping Jin, Dittaya Wanvarie, Masashi Sugiyama

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Nils Reimers, Iryna Gurevych

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation

Cristina Gârbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei

Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach

Zhenjie Zhao, Xiaojuan Ma

Implicit Deep Latent Variable Models for Text Generation

Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen

Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites

Alexey Tikhonov, Viacheslav Shibaev, Aleksander Nagaev, Aigul Nugmanova, Ivan P. Yamshchikov

A Logic-Driven Framework for Consistency of Neural Models

Tao Li, Vivek Gupta, Maitrey Mehta, Vivek Srikumar

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Wenpeng Yin, Jamaal Hay, Dan Roth

Induction Networks for Few-Shot Text Classification

Ruiying Geng, Binhua Li, Yongbin Li, Xiaodan Zhu, Ping Jian

ProSeqo: Projection Sequence Networks for On-Device Text Classification

Zornitsa Kozareva, Sujith Ravi

Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification

Oren Melamud, Mihaela Bornea, Ken Barker

Cross-Cultural Transfer Learning for Text Classification

Dor Ringel, Gal Lavee, Ido Guy, Kira Radinsky

Dependency-Guided LSTM-CRF for Named Entity Recognition

Zhanming Jie, Wei Lu

Easy First Relation Extraction with Information Redundancy

Shuai Ma, Gang Wang, Yansong Feng, Jinpeng Huai

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren

Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network

Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding

Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan

Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing

Jonathan Herzig, Jonathan Berant

Core Semantic First: A Top-down Approach for AMR Parsing

Deng Cai, Wai Lam

Broad-Coverage Semantic Parsing as Transduction

Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme

Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs

bailin wang, Ivan Titov, Mirella Lapata

Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator

Xiaoyu Shen, Yang Zhao, Hui Su, Dietrich Klakow

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle

Peter West, Ari Holtzman, Jan Buys, Yejin Choi

How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing

Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao

Text Summarization with Pretrained Encoders

Yang Liu, Mirella Lapata

Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization

Daniel Deutsch, Dan Roth

TalkDown: A Corpus for Condescension Detection in Context

Zijian Wang, Christopher Potts

Emergent Linguistic Phenomena in Multi-Agent Communication Games

Laura Harding Graesser, Kyunghyun Cho, Douwe Kiela

Pretrained Language Models for Sequential Sentence Classification

Arman Cohan, Iz Beltagy, DANIEL KING, Bhavana Dalvi, Dan Weld

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

Yinfei Yang, yuan zhang, Chris Tar, Jason Baldridge

A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection

Kurt Junshean Espinosa, Makoto Miwa, Sophia Ananiadou

Efficient Sentence Embedding using Discrete Cosine Transform

Nada Almarwani, Hanan Aldarmaki, Mona Diab

Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis

Hiroki Ouchi, Jun Suzuki, Kentaro Inui

Global Reasoning over Database Structures for Text-to-SQL Parsing

Ben Bogin, Matt Gardner, Jonathan Berant

A Pilot Study for Chinese SQL Semantic Parsing

Qingkai Min, Yuefeng Shi, Yue Zhang

PaLM: A Hybrid Parser and Language Model

Hao Peng, Roy Schwartz, Noah A. Smith

Data Augmentation with Atomic Templates for Spoken Language Understanding

Zijian Zhao, Su Zhu, Kai Yu

Small and Practical BERT Models for Sequence Labeling

Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li

Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training

Alham Fikri Aji, Kenneth Heafield, Nikolay Bogoychev

Humor Detection: A Transformer Gets the Last Laugh

Orion Weller, Kevin Seppi

SciBERT: A Pretrained Language Model for Scientific Text

Iz Beltagy, Kyle Lo, Arman Cohan

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang

Single Training Dimension Selection for Word Embedding with PCA

Yu Wang

Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets

Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal

Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition

Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu

Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training

Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, Shou-De Lin

Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer

Yunli Wang, Yu Wu, Lili Mou, Zhoujun Li, Wenhan Chao

Out-of-Domain Detection for Low-Resource Text Classification Tasks

Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar

A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation

Hagai Taitelbaum, Gal Chechik, Jacob Goldberger

Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels

Lukas Lange, Michael A. Hedderich, Dietrich Klakow

Fine-tune BERT with Sparse Self-Attention Mechanism

Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition

Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung

SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations

Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli

Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja

Kang Min Yoo, Taeuk Kim, Sang-goo Lee

Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling

Koki Washio, Satoshi Sekine, Tsuneaki Kato

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL

Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou

GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge

Luyao Huang, Chi Sun, Xipeng Qiu, Xuanjing Huang

Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space

Kawin Ethayarajh

The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval

Constantine Lignos, Daniel Cohen, Yen-Chieh Lien, Pratik Mehta, W. Bruce Croft

Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval

Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang, Jimmy Lin

Modelling Stopping Criteria for Search Results using Poisson Processes

Alison Sneyd, Mark Stevenson

Neural Topic Model with Reinforcement Learning

Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu

Evaluating Topic Quality with Posterior Variability

Linzi Xing, Michael J. Paul, Giuseppe Carenini

Visual Detection with Context for Document Layout Analysis

Carlos Soto, Shinjae Yoo

Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings

Hwiyeol Jo, Ceyda Cinarel

Ahmed Sabir, Francesc Moreno, Lluís Padró

Text Level Graph Neural Network for Text Classification

Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

A Label Informative Wide & Deep Classifier for Patents and Papers

Muyao Niu, Jie Cai

Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis

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

Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks

Xingwei Tan, Yi Cai, Changxi Zhu

Towards Debiasing Fact Verification Models

Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, Daniel Roberto Filizzola Ortiz, Enrico Santus

On the Importance of Delexicalization for Fact Verification

Sandeep Suntwal, Mithun Paul, Rebecca Sharp, Mihai Surdeanu

The Woman Worked as a Babysitter: On Biases in Language Generation

Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng

Autoregressive Text Generation Beyond Feedback Loops

Florian Schmidt, Stephan Mandt, Thomas Hofmann

Multi-Task Learning with Language Modeling for Question Generation

Wenjie Zhou, Minghua Zhang, Yunfang Wu

Pun-GAN: Generative Adversarial Network for Pun Generation

Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG

Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit CHEUNG

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations

Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li

QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization

Yi-Ting Yeh, Yun-Nung Chen

“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding

Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth

On NMT Search Errors and Model Errors: Cat Got Your Tongue?

Felix Stahlberg, Bill Byrne

Synchronously Generating Two Languages with Interactive Decoding

Yining Wang, Jiajun Zhang, Long Zhou, Yuchen Liu, Chengqing Zong

Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set

Katharina Kann, Kyunghyun Cho, Samuel R. Bowman

Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction

Yova Kementchedjhieva, Mareike Hartmann, Anders Søgaard

Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization

Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy

Let’s Ask Again: Refine Network for Automatic Question Generation

Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran

Domain Adaptive Text Style Transfer

Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett

Neural Extractive Text Summarization with Syntactic Compression

Jiacheng Xu, Greg Durrett

An Entity-Driven Framework for Abstractive Summarization

Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang

“Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer

Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model

Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu

Answers Unite! Unsupervised Metrics for Reinforced Summarization Models

Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano