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EMNLP 2020

1,823 papers

Semantically Inspired AMR Alignment for the Portuguese Language

Rafael Anchiêta, Thiago Pardo

A Bilingual Generative Transformer for Semantic Sentence Embedding

John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick

Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank

Eleftheria Briakou, Marine Carpuat

SLM: Learning a Discourse Language Representation with Sentence Unshuffling

Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning

Analogous Process Structure Induction for Sub-event Sequence Prediction

Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth

Benchmarking Meaning Representations in Neural Semantic Parsing

Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Ng

A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization

Jinghui Yan, Yining Wang, Lu Xiang, Yu Zhou, Chengqing Zong

Explainable Clinical Decision Support from Text

Jinyue Feng, Chantal Shaib, Frank Rudzicz

Predicting Clinical Trial Results by Implicit Evidence Integration

Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang

Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection

Jingfeng Yang, Diyi Yang, Zhaoran Ma

Generating Radiology Reports via Memory-driven Transformer

Zhihong Chen, Yan Song, Tsung-Hui Chang, Xiang Wan

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text

Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang

On the Reliability and Validity of Detecting Approval of Political Actors in Tweets

Indira Sen, Fabian Flöck, Claudia Wagner

Social Media Attributions in the Context of Water Crisis

Rupak Sarkar, Sayantan Mahinder, Hirak Sarkar, Ashiqur KhudaBukhsh

Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations

Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu, Rui Xia

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Yuyang Nie, Yuanhe Tian, Xiang Wan, Yan Song, Bo Dai

Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics

Keyang Ding, Jing Li, Yuji Zhang

Learning from Task Descriptions

Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters

Coding Textual Inputs Boosts the Accuracy of Neural Networks

Abdul Rafae Khan, Jia Xu, Weiwei Sun

Scaling Hidden Markov Language Models

Justin Chiu, Alexander Rush

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao

Learning VAE-LDA Models with Rounded Reparameterization Trick

Runzhi Tian, Yongyi Mao, Richong Zhang

Improving Bilingual Lexicon Induction for Low Frequency Words

Jiaji Huang, Xingyu Cai, Kenneth Church

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan

SetConv: A New Approach for Learning from Imbalanced Data

Yang Gao, Yi-Fan Li, Yu Lin, Charu Aggarwal, Latifur Khan

SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi

Grounded Compositional Outputs for Adaptive Language Modeling

Nikolaos Pappas, Phoebe Mulcaire, Noah A. Smith

Local Additivity Based Data Augmentation for Semi-supervised NER

Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang

Acrostic Poem Generation

Rajat Agarwal, Katharina Kann

Reading Between the Lines: Exploring Infilling in Visual Narratives

Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W Black

Online Back-Parsing for AMR-to-Text Generation

Xuefeng Bai, Linfeng Song, Yue Zhang

Small but Mighty: New Benchmarks for Split and Rephrase

Li Zhang, Huaiyu Zhu, Siddhartha Brahma, Yunyao Li

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph

Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie

ToTTo: A Controlled Table-To-Text Generation Dataset

Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions

Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner

Unsupervised Adaptation of Question Answering Systems via Generative Self-training

Steven Rennie, Etienne Marcheret, Neil Mallinar, David Nahamoo, Vaibhava Goel

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions

James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning

Michael Boratko, Xiang Lorraine Li, Tim O’Gorman, Rajarshi Das, Dan Le

Look at the First Sentence: Position Bias in Question Answering

Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, Gangwoo Kim, Jaewoo Kang

Non-Autoregressive Machine Translation with Latent Alignments

Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi

Generating Diverse Translation from Model Distribution with Dropout

Xuanfu Wu, Yang Feng, Chenze Shao

Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation

Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan

Self-Paced Learning for Neural Machine Translation

Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao

Incorporating a Local Translation Mechanism into Non-autoregressive Translation

Xiang Kong, Zhisong Zhang, Eduard Hovy

On the Sparsity of Neural Machine Translation Models

Yong Wang, Longyue Wang, Victor Li, Zhaopeng Tu

Multi-Unit Transformers for Neural Machine Translation

Jianhao Yan, Fandong Meng, Jie Zhou

Token-level Adaptive Training for Neural Machine Translation

Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie

Multi-task Learning for Multilingual Neural Machine Translation

Yiren Wang, ChengXiang Zhai, Hany Hassan

Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers

Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu

Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation

Jason Lee, Raphael Shu, Kyunghyun Cho

Shallow-to-Deep Training for Neural Machine Translation

Bei Li, Ziyang Wang, Hui LIU, Yufan Jiang, Quan Du

Word class flexibility: A deep contextualized approach

Bai Li, Guillaume Thomas, Yang Xu, Frank Rudzicz

Predicting Reference: What do Language Models Learn about Discourse Models?

Shiva Upadhye, Leon Bergen, Andrew Kehler

Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact

Yugo Murawaki

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness

Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui

RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling

Jun Quan, Shian Zhang, Qian Cao, Zizhong Li, Deyi Xiong

TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue

Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, Caiming Xiong

Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness

Hyunwoo Kim, Byeongchang Kim, Gunhee Kim

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning

Haochen Liu, Wentao Wang, Yiqi Wang, Hui LIU, Zitao Liu

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!

Jack Hessel, Lillian Lee

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning

Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Learning to Represent Image and Text with Denotation Graph

Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha

Where Are You? Localization from Embodied Dialog

Meera Hahn, Jacob Krantz, Dhruv Batra, Devi Parikh, James Rehg

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning

LIANHUI Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang

PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation

Xinyu Hua, Lu Wang

De-Biased Court’s View Generation with Causality

Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun

Reformulating Unsupervised Style Transfer as Paraphrase Generation

Kalpesh Krishna, John Wieting, Mohit Iyyer

Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph

Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu

Semi-supervised New Event Type Induction and Event Detection

Lifu Huang, Heng Ji

Incremental Event Detection via Knowledge Consolidation Networks

Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang

Joint Constrained Learning for Event-Event Relation Extraction

Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth

Connecting the Dots: Event Graph Schema Induction with Path Language Modeling

Manling Li, Qi Zeng, Ying Lin, Kyunghyun Cho, Heng Ji

Event Extraction by Answering (Almost) Natural Questions

Xinya Du, Claire Cardie

Social Chemistry 101: Learning to Reason about Social and Moral Norms

Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, Yejin Choi

Measuring Information Propagation in Literary Social Networks

Matthew Sims, David Bamman

An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets

Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin

Condolence and Empathy in Online Communities

Naitian Zhou, David Jurgens

Unsupervised Discovery of Implicit Gender Bias

Anjalie Field, Yulia Tsvetkov

ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization

Shiyue Zhang, Benjamin Frey, Mohit Bansal

Accurate Word Alignment Induction from Neural Machine Translation

Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu

A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT

Masaaki Nagata, Katsuki Chousa, Masaaki Nishino

Don’t Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings

Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj

Efficient Meta Lifelong-Learning with Limited Memory

Zirui Wang, Sanket Vaibhav Mehta, Barnabás Póczos, Jaime Carbonell

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks

Trapit Bansal, Rishikesh Jha, Tsendsuren Munkhdalai, Andrew McCallum

TernaryBERT: Distillation-aware Ultra-low Bit BERT

Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen

Contrastive Distillation on Intermediate Representations for Language Model Compression

Siqi Sun, Zhe Gan, Yuwei Fang, Yu Cheng, Shuohang Wang

Friendly Topic Assistant for Transformer Based Abstractive Summarization

Zhengjue Wang, Zhibin Duan, Hao Zhang, Chaojie Wang, Long Tian

Q-learning with Language Model for Edit-based Unsupervised Summarization

Ryosuke Kohita, Akifumi Wachi, Yang Zhao, Ryuki Tachibana

What Have We Achieved on Text Summarization?

Dandan Huang, Leyang Cui, Sen Yang, Guangsheng Bao, Kun Wang

A Spectral Method for Unsupervised Multi-Document Summarization

Kexiang Wang, Baobao Chang, Zhifang Sui

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

Silei Xu, Sina Semnani, Giovanni Campagna, Monica Lam

Cross-Thought for Sentence Encoder Pre-training

Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng

Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Ruiqi Zhong, Tao Yu, Dan Klein

Dialogue Response Ranking Training with Large-Scale Human Feedback Data

Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, Bill Dolan

Augmented Natural Language for Generative Sequence Labeling

Ben Athiwaratkun, Cicero Nogueira dos Santos, Jason Krone, Bing Xiang

Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU

Brielen Madureira, David Schlangen

Conversational Document Prediction to Assist Customer Care Agents

Jatin Ganhotra, Haggai Roitman, Doron Cohen, Nathaniel Mills, Chulaka Gunasekara

FIND: Human-in-the-Loop Debugging Deep Text Classifiers

Piyawat Lertvittayakumjorn, Lucia Specia, Francesca Toni