ACL 2019

1,448 papers

Meaning to Form: Measuring Systematicity as Information

Tiago Pimentel, Arya D. McCarthy, Damian Blasi, Brian Roark, Ryan Cotterell

Multilingual Factor Analysis

Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis, Nils Hammerla

SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings

Chengyu Wang, Xiaofeng He, Aoying Zhou

Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings

Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling

Alexander Hoyle, Lawrence Wolf-Sonkin, Hanna Wallach, Isabelle Augenstein, Ryan Cotterell

Understanding Undesirable Word Embedding Associations

Kawin Ethayarajh, David Duvenaud, Graeme Hirst

LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories

Ignacio Iacobacci, Roberto Navigli

Evaluating Gender Bias in Machine Translation

Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer

The Risk of Racial Bias in Hate Speech Detection

Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, Noah A. Smith

A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings

Chris Sweeney, Maryam Najafian

Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

Ran Zmigrod, Sabrina J. Mielke, Hanna Wallach, Ryan Cotterell

Gender-preserving Debiasing for Pre-trained Word Embeddings

Masahiro Kaneko, Danushka Bollegala

Mitigating Gender Bias in Natural Language Processing: Literature Review

Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief

Stochastic Tokenization with a Language Model for Neural Text Classification

Tatsuya Hiraoka, Hiroyuki Shindo, Yuji Matsumoto

Historical Text Normalization with Delayed Rewards

Simon Flachs, Marcel Bollmann, Anders Søgaard

Better Character Language Modeling through Morphology

Terra Blevins, Luke Zettlemoyer

Using LSTMs to Assess the Obligatoriness of Phonological Distinctive Features for Phonotactic Learning

Nicole Mirea, Klinton Bicknell

Open Vocabulary Learning for Neural Chinese Pinyin IME

Zhuosheng Zhang, Yafang Huang, Hai Zhao

Towards Lossless Encoding of Sentences

Gabriele Prato, Mathieu Duchesneau, Sarath Chandar, Alain Tapp

Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization

Paul Pu Liang, Zhun Liu, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov

Soft Representation Learning for Sparse Transfer

Haeju Park, Jinyoung Yeo, Gengyu Wang, Seung-won Hwang

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang

A Lightweight Recurrent Network for Sequence Modeling

Biao Zhang, Rico Sennrich

Exact Hard Monotonic Attention for Character-Level Transduction

Shijie Wu, Ryan Cotterell

On the Robustness of Self-Attentive Models

Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu

Sparse Sequence-to-Sequence Models

Ben Peters, Vlad Niculae, André F. T. Martins

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks

Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, SHUAI ZHANG

Improving Neural Language Models by Segmenting, Attending, and Predicting the Future

Hongyin Luo, Lan Jiang, Yonatan Belinkov, James Glass

Training Hybrid Language Models by Marginalizing over Segmentations

Edouard Grave, Sainbayar Sukhbaatar, Piotr Bojanowski, Armand Joulin

Improved Language Modeling by Decoding the Past

Siddhartha Brahma

A Neural Multi-digraph Model for Chinese NER with Gazetteers

Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li

Multi-Channel Graph Neural Network for Entity Alignment

Yixin Cao, Zhiyuan Liu, Chengjiang Li, Juanzi Li, Tat-Seng Chua

ERNIE: Enhanced Language Representation with Informative Entities

Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun

Multi-grained Named Entity Recognition

Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction

Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen

GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction

Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma

ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification

Wei Jia, Dai Dai, Xinyan Xiao, Hua Wu

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

Christoph Alt, Marc Hübner, Leonhard Hennig

Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses

Étienne Simon, Vincent Guigue, Benjamin Piwowarski

Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers

Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang

Joint Type Inference on Entities and Relations via Graph Convolutional Networks

Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang

Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data

Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen

Entity-Relation Extraction as Multi-Turn Question Answering

Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan

Graph Neural Networks with Generated Parameters for Relation Extraction

Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua

Global Textual Relation Embedding for Relational Understanding

Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan

Monotonic Infinite Lookback Attention for Simultaneous Machine Translation

Naveen Arivazhagan, Colin Cherry, Wolfgang Macherey, Chung-Cheng Chiu, Semih Yavuz

Imitation Learning for Non-Autoregressive Neural Machine Translation

Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun

On the Word Alignment from Neural Machine Translation

Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi

Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation

Wei Wang, Isaac Caswell, Ciprian Chelba

Syntactically Supervised Transformers for Faster Neural Machine Translation

Nader Akoury, Kalpesh Krishna, Mohit Iyyer

Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations

Jiatao Gu, Yong Wang, Kyunghyun Cho, Victor O.K. Li

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies

Yunsu Kim, Yingbo Gao, Hermann Ney

Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita

Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation

Viktor Hangya, Alexander Fraser

A Compact and Language-Sensitive Multilingual Translation Method

Yining Wang, Long Zhou, Jiajun Zhang, Feifei Zhai, Jingfang Xu

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion

Elena Voita, Rico Sennrich, Ivan Titov

Self-Attentional Models for Lattice Inputs

Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel

Context-specific Language Modeling for Human Trafficking Detection from Online Advertisements

Saeideh Shahrokh Esfahani, Michael J. Cafarella, Maziyar Baran Pouyan, Gregory DeAngelo, Elena Eneva

Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning

Quanzhi Li, Qiong Zhang, Luo Si

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions

Amirreza Shirani, Franck Dernoncourt, Paul Asente, Nedim Lipka, Seokhwan Kim

Poetry to Prose Conversion in Sanskrit as a Linearisation Task: A Case for Low-Resource Languages

Amrith Krishna, Vishnu Sharma, Bishal Santra, Aishik Chakraborty, Pavankumar Satuluri

Neural News Recommendation with Topic-Aware News Representation

Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie

Complex Word Identification as a Sequence Labelling Task

Sian Gooding, Ekaterina Kochmar

Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection

Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cecile Paris

Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion

Suyoun Kim, Siddharth Dalmia, Florian Metze

DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions

Tirthankar Ghosal, Rajeev Verma, Asif Ekbal, Pushpak Bhattacharyya

Text Categorization by Learning Predominant Sense of Words as Auxiliary Task

Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto

Heuristic Authorship Obfuscation

Janek Bevendorff, Martin Potthast, Matthias Hagen, Benno Stein

Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency

Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che

Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev

A Simple Theoretical Model of Importance for Summarization

Maxime Peyrard

Searching for Effective Neural Extractive Summarization: What Works and What’s Next

Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Global Optimization under Length Constraint for Neural Text Summarization

Takuya Makino, Tomoya Iwakura, Hiroya Takamura, Manabu Okumura

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

SangWoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu

Argument Invention from First Principles

Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts

Rui Xia, Zixiang Ding

Multimodal and Multi-view Models for Emotion Recognition

Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion

Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network

Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich

HEAD-QA: A Healthcare Dataset for Complex Reasoning

David Vilares, Carlos Gómez-Rodríguez

Joint Entity Extraction and Assertion Detection for Clinical Text

Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia

Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting

Jeanne E. Daniel, Willie Brink, Ryan Eloff, Charles Copley

Finding Your Voice: The Linguistic Development of Mental Health Counselors

Justine Zhang, Robert Filbin, Christine Morrison, Jaclyn Weiser, Cristian Danescu-Niculescu-Mizil

What Makes a Good Counselor? Learning to Distinguish between High-quality and Low-quality Counseling Conversations

Veronica Perez-Rosas, Xinyi Wu, Kenneth Resnicow, Rada Mihalcea

Extracting Symptoms and their Status from Clinical Conversations

Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen

SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference

Martin Schmitt, Hinrich Schütze

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang

Don’t Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

Yonatan Belinkov, Adam Poliak, Stuart Shieber, Benjamin Van Durme, Alexander Rush

Knowledge-aware Pronoun Coreference Resolution

Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin

OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs

Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba

Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue

Anusha Balakrishnan, Jinfeng Rao, Kartikeya Upasani, Michael White, Rajen Subba

Multi-Task Networks with Universe, Group, and Task Feature Learning

Shiva Pentyala, Mengwen Liu, Markus Dreyer

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems

Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher

Crowdsourcing and Aggregating Nested Markable Annotations

Chris Madge, Juntao Yu, Jon Chamberlain, Udo Kruschwitz, Silviu Paun

Automatic Evaluation of Local Topic Quality

Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun

ChID: A Large-scale Chinese IDiom Dataset for Cloze Test

Chujie Zheng, Minlie Huang, Aixin Sun

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin

Errudite: Scalable, Reproducible, and Testable Error Analysis

Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, Daniel Weld

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde