EMNLP 2020

1,823 papers

Text Classification Using Label Names Only: A Language Model Self-Training Approach

Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji

Named Entity Recognition Only from Word Embeddings

Ying Luo, Hai Zhao, Junlang Zhan

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning

Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler

MIME: MIMicking Emotions for Empathetic Response Generation

Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal

EmoTag1200: Understanding the Association between Emojis and Emotions

Abu Awal Md Shoeb, Gerard de Melo

Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning

Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen

Sentiment Analysis of Tweets using Heterogeneous Multi-layer Network Representation and Embedding

Loitongbam Gyanendro Singh, Anasua Mitra, Sanasam Ranbir Singh

Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations

Emily Allaway, Kathleen McKeown

Exploring the Role of Argument Structure in Online Debate Persuasion

Jialu Li, Esin Durmus, Claire Cardie

CancerEmo: A Dataset for Fine-Grained Emotion Detection

Tiberiu Sosea, Cornelia Caragea

SRLGRN: Semantic Role Labeling Graph Reasoning Network

Chen Zheng, Parisa Kordjamshidi

Unsupervised Question Decomposition for Question Answering

Ethan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning

Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal

A Simple Yet Strong Pipeline for HotpotQA

Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal

Hierarchical Graph Network for Multi-hop Question Answering

Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang

Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube

Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations

Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers

Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi

What is More Likely to Happen Next? Video-and-Language Future Event Prediction

Jie Lei, Licheng Yu, Tamara Berg, Mohit Bansal

CapWAP: Image Captioning with a Purpose

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan Clark, Regina Barzilay

Keep CALM and Explore: Language Models for Action Generation in Text-based Games

Shunyu Yao, Rohan Rao, Matthew Hausknecht, Karthik Narasimhan

Experience Grounds Language

Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio

TeaForN: Teacher-Forcing with N-grams

Sebastian Goodman, Nan Ding, Radu Soricut

Gradient-guided Unsupervised Lexically Constrained Text Generation

Lei Sha

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation

Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang

Unsupervised Text Style Transfer with Padded Masked Language Models

Eric Malmi, Aliaksei Severyn, Sascha Rothe

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training

Yizhe Zhang, Guoyin Wang, Chunyuan Li, Zhe Gan, Chris Brockett

KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation

Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang

Improving Low Compute Language Modeling with In-Domain Embedding Initialisation

Charles Welch, Rada Mihalcea, Jonathan K. Kummerfeld

Incremental Neural Coreference Resolution in Constant Memory

Patrick Xia, João Sedoc, Benjamin Van Durme

DualTKB: A Dual Learning Bridge between Text and Knowledge Base

Pierre Dognin, Igor Melnyk, Inkit Padhi, Cicero Nogueira dos Santos, Payel Das

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao

AxCell: Automatic Extraction of Results from Machine Learning Papers

Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup

Rongzhi Zhang, Yue Yu, Chao Zhang

Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction

Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, Thomas Lukasiewicz

Exploring Contextualized Neural Language Models for Temporal Dependency Parsing

Hayley Ross, Jonathon Cai, Bonan Min

Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning

Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao

Pre-training Mention Representations in Coreference Models

Yuval Varkel, Amir Globerson

Revealing the Myth of Higher-Order Inference in Coreference Resolution

Liyan Xu, Jinho D. Choi

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks

Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel

Exploring Semantic Capacity of Terms

Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong

Sparsity Makes Sense: Word Sense Disambiguation Using Sparse Contextualized Word Representations

Gábor Berend

Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection

Adam Tsakalidis, Maria Liakata

Deconstructing word embedding algorithms

Kian Kenyon-Dean, Edward Newell, Jackie Chi Kit CHEUNG

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Simon Flachs, Ophélie Lacroix, Helen Yannakoudakis, Marek Rei, Anders Søgaard

Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models

Changmao Li, Elaine Fisher, Rebecca Thomas, Steve Pittard, Vicki Hertzberg

To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints

Barun Patra, Chala Fufa, Pamela Bhattacharya, Charles Lee

Natural Language Processing for Achieving Sustainable Development: the Case of Neural Labelling to Enhance Community Profiling

Costanza Conforti, Stephanie Hirmer, Dai Morgan, Marco Basaldella, Yau Ben Or

Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations

Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah

Towards Modeling Revision Requirements in wikiHow Instructions

Irshad Bhat, Talita Anthonio, Michael Roth

NwQM: A neural quality assessment framework for Wikipedia

Bhanu Prakash Reddy Guda, Sasi Bhushan Seelaboyina, Soumya Sarkar, Animesh Mukherjee

Authorship Attribution for Neural Text Generation

Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee

Chapter Captor: Text Segmentation in Novels

Charuta Pethe, Allen Kim, Steve Skiena

Towards More Accurate Uncertainty Estimation In Text Classification

Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen

META: Metadata-Empowered Weak Supervision for Text Classification

Dheeraj Mekala, Xinyang Zhang, Jingbo Shang

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Tara Safavi, Danai Koutra

Text Graph Transformer for Document Classification

Haopeng Zhang, Jiawei Zhang

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction

Tara Safavi, Danai Koutra, Edgar Meij

SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery

Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training

Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel

Precise Task Formalization Matters in Winograd Schema Evaluations

Haokun Liu, William Huang, Dhara Mungra, Samuel R. Bowman

Multitask Learning for Cross-Lingual Transfer of Broad-coverage Semantic Dependencies

Maryam Aminian, Mohammad Sadegh Rasooli, Mona Diab

Data and Representation for Turkish Natural Language Inference

Emrah Budur, Rıza Özçelik, Tunga Güngör, Christopher Potts

ConjNLI: Natural Language Inference Over Conjunctive Sentences

Swarnadeep Saha, Yixin Nie, Mohit Bansal

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

Wenpeng Yin, Nazneen Fatema Rajani, Dragomir Radev, Richard Socher, Caiming Xiong

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions

Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal

New Protocols and Negative Results for Textual Entailment Data Collection

Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, Emily Pitler

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference

Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel

Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation

Emily Dinan, Angela Fan, Adina Williams, Jack Urbanek, Douwe Kiela

Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity

Pedro Rodriguez, Paul Crook, Seungwhan Moon, Zhiguang Wang

INSPIRED: Toward Sociable Recommendation Dialog Systems

Shirley Anugrah Hayati, Dongyeop Kang, Qingxiaoyang Zhu, Weiyan Shi, Zhou Yu

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

Song Feng, Hui Wan, Chulaka Gunasekara, Siva Patel, Sachindra Joshi

Conversational Semantic Parsing for Dialog State Tracking

Jianpeng Cheng, Devang Agrawal, Héctor Martínez Alonso, Shruti Bhargava, Joris Driesen

Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness

Stefan Larson, Anthony Zheng, Anish Mahendran, Rishi Tekriwal, Adrian Cheung

Intrinsic Evaluation of Summarization Datasets

Rishi Bommasani, Claire Cardie

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles

Yao Lu, Yue Dong, Laurent Charlin

MLSUM: The Multilingual Summarization Corpus

Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano

TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization

Clément Jumel, Annie Louis, Jackie Chi Kit CHEUNG

A Preliminary Exploration of GANs for Keyphrase Generation

Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah

Effectively pretraining a speech translation decoder with Machine Translation data

Ashkan Alinejad, Anoop Sarkar

VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls

Ramit Sawhney, Piyush Khanna, Arshiya Aggarwal, Taru Jain, Puneet Mathur

The role of context in neural pitch accent detection in English

Elizabeth Nielsen, Mark Steedman, Sharon Goldwater

The importance of fillers for text representations of speech transcripts

Tanvi Dinkar, Pierre Colombo, Matthieu Labeau, Chloé Clavel

Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications

Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen

Transformer Based Multi-Source Domain Adaptation

Dustin Wright, Isabelle Augenstein

Active Learning for BERT: An Empirical Study

Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin

Cold-start Active Learning through Self-supervised Language Modeling

Michelle Yuan, Hsuan-tien Lin, Jordan Boyd-Graber

To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging

Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma

Exploring and Predicting Transferability across NLP Tasks

Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler

Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing

Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou

On the importance of pre-training data volume for compact language models

Vincent Micheli, Martin d’Hoffschmidt, Francois Fleuret

PatchBERT: Just-in-Time, Out-of-Vocabulary Patching

Sangwhan Moon, Naoaki Okazaki

Entity Linking in 100 Languages

Jan A. Botha, Zifei Shan, Daniel Gillick

Constrained Fact Verification for FEVER

Adithya Pratapa, Sai Muralidhar Jayanthi, Kavya Nerella

Program Enhanced Fact Verification with Verbalization and Graph Attention Network

Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen

Hierarchical Evidence Set Modeling for Automated Fact Extraction and Verification

Shyam Subramanian, Kyumin Lee

MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge

Sopan Khosla, Shikhar Vashishth, Jill Fain Lehman, Carolyn Rose

DORB: Dynamically Optimizing Multiple Rewards with Bandits

Ramakanth Pasunuru, Han Guo, Mohit Bansal