COVID-19 Related NLP Papers

Contributed by Xiachong Feng, Libo Qin, Xiao Xu

COVID-19 outbreak has become a global pandemic. NLP researchers are fighting the epidemic in their own way.

pic from https://goodera.com/blog/sustainability/how-companies-can-lead-the-fight-against-the-spread-of-covid-19/

Table of Contents

• Resource
• Arxiv
• NAACL21
• AACL20
• ACL20
• EACL20
• COLING20
• EMNLP20
• Findings of EMNLP20
• CCL20

Resource

• Tweets related to the coronavirus outbreak have been collected from Twitter's search API nightly since January 17th, 2020. As of 01/17/2021, there are now over 300 000 000 tweets covid19_unique_tweets
• COVID-19 Open Research Dataset Challenge (CORD-19) Kaggle
• API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources. COVID-QA

Arxiv

• Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP) Qingyu Chen, Robert Leaman, Alexis Allot, Ling Luo, Chih-Hsuan Wei, Shankai Yan, Zhiyong Lu [pdf]
• Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery Tianyue Cheng, Tianchi Fan, Landi Wang [pdf]
• COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle, Thu Nguyen, Gilbert Gee, Majid Sarrafzadeh [pdf]
• COVID-19 sentiment analysis via deep learning during the rise of novel cases Rohitash Chandra, Aswin Krishna [pdf]
• Analyzing COVID-19 Tweets with Transformer-based Language Models Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan [pdf]
• Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT Kristen Scott, Pieter Delobelle, Bettina Berendt [pdf]
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NAACL21

• COVID-19 named entity recognition for Vietnamese Thinh Hung Truong, Mai Hoang Dao and Dat Quoc Nguyen NAACL21 [pdf]
• Extracting a Knowledge Base of Mechanisms from COVID-19 Papers Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel Weld, Roy Schwartz, Hannaneh Hajishirzi NAACL21 [pdf]
• Transformers to Fight the COVID-19 Infodemic Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi NAACL21 [pdf]

AACL20

• COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature Colby Wise, Miguel Romero Calvo, Pariminder Bhatia, Vassilis Ioannidis, George Karypus, George Price, Xiang Song, Ryan Brand, Ninad Kulkani AACL20 [pdf]

ACL20

• CORD-19: The COVID-19 Open Research Dataset Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, Yunyao Li, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Nancy Xin Ru Wang, Christopher Wilhelm, Boya Xie, Douglas M. Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier ACL20 [pdf]
• Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin ACL20 [pdf]
• Document Classification for COVID-19 Literature https://www.aclweb.org/anthology/2020.nlpcovid19-acl.3/ ACL20 [pdf]
• Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training Alexander Spangher, Nanyun Peng, Jonathan May, Emilio Ferrara ACL20 [pdf]
• Self-supervised context-aware COVID-19 document exploration through atlas grounding Dusan Grujicic, Gorjan Radevski, Tinne Tuytelaars, Matthew Blaschko ACL20 [pdf]
• CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset Ting-Hao Kenneth Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles ACL20 [pdf]
• Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings Debasmita Das, Yatin Katyal, Janu Verma, Shashank Dubey, AakashDeep Singh, Kushagra Agarwal, Sourojit Bhaduri, RajeshKumar Ranjan ACL20 [pdf]
• What Are People Asking About COVID-19? A Question Classification Dataset Jerry Wei, Chengyu Huang, Soroush Vosoughi, Jason Wei ACL20 [pdf]
• Jennifer for COVID-19: An NLP-Powered Chatbot Built for the People and by the People to Combat Misinformation Yunyao Li, Tyrone Grandison, Patricia Silveyra, Ali Douraghy, Xinyu Guan, Thomas Kieselbach, Chengkai Li, Haiqi Zhang ACl20 [pdf]
• A Natural Language Processing System for National COVID-19 Surveillance in the US Department of Veterans Affairs Alec Chapman, Kelly Peterson, Augie Turano, Tamára Box, Katherine Wallace, Makoto Jones ACl20 [pdf]
• Measuring Emotions in the COVID-19 Real World Worry Dataset Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes ACl20 [pdf]
• Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic JT Wolohan ACL20 [pdf]
• Exploration of Gender Differences in COVID-19 Discourse on Reddit Jai Aggarwal, Ella Rabinovich, Suzanne Stevenson ACl20 [pdf]
• Cross-language sentiment analysis of European Twitter messages during the COVID-19 pandemic Anna Kruspe, Matthias Häberle, Iona Kuhn, Xiao Xiang Zhu ACl20 [pdf]
• Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment Sharon Levy, William Yang Wang ACL20 [pdf]
• COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media? Lama Alsudias, Paul Rayson ACL20 [pdf]
• NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich ACL20 [pdf]
• COVID-QA: A Question Answering Dataset for COVID-19 Timo Möller, Anthony Reina, Raghavan Jayakumar, Malte Pietsch ACL20 [pdf]

EACL20

• Mega-COV: A Billion-Scale Dataset of 100+ Languages for COVID-19 Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi, Dinesh Pabbi, Kunal Verma, Rannie Lin EACL20 [pdf]
• CovRelex: A COVID-19 Retrieval System with Relation Extraction Vu Tran, Van-Hien Tran, Phuong Nguyen, Chau Nguyen, Ken Satoh, Yuji Matsumoto, Minh Nguyen EACL20 [pdf]
• A Dashboard for Mitigating the COVID-19 Misinfodemic Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohanmmed Samiul Saeef, Paras Pathak, Chengkai Li EACL20 [pdf]
• A COVID-19 news coverage mood map of Europe Frankie Robertson, Jarkko Lagus, Kaisla Kajava EACL20 [pdf]
• ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic Hamdy Mubarak, Sabit Hassan EACL20 [pdf]
• Understanding Social Support Expressed in a COVID-19 Online Forum Anietie Andy, Brian Chu, Ramie Fathy, Barrington Bennett, Daniel Stokes, Sharath Chandra Guntuku EACL20 [pdf]
• Impact of COVID-19 in Natural Language Processing Publications: a Disaggregated Study in Gender, Contribution and Experience Christine Basta, Marta R. Costa-jussa EACL20 [pdf]
• ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed EACL20 [pdf]
• ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed EACL20 [pdf]
• Partisanship and Fear are Associated with Resistance to COVID-19 Directives Mike Lindow, David DeFranza, Arul Mishra, Himanshu Mishra EACL20 [pdf]

COLING20

• InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research Claire Bonial, Stephanie M. Lukin, David Doughty, Steven Hill, Clare Voss COLING20 [pdf]
• PublishInCovid19 at the FinSBD-2 Task: Sentence and List Extraction in Noisy PDF Text Using a Hybrid Deep Learning and Rule-Based Approach Janvijay Singh COLING20 [pdf]
• Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking Rutvik Vijjali, Prathyush Potluri, Siddharth Kumar, Sundeep Teki COLING20 [pdf]
• Social Media Unrest Prediction during the COVID-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises Dirk Johannßen, Chris Biemann COLING20 [pdf]
• Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic Boris Marinov, Jennifer Spenader, Tommaso Caselli COLING20 [pdf]
• Sentiments in Russian Medical Professional Discourse during the Covid-19 Pandemic Irina Ovchinnikova, Liana Ermakova, Diana Nurbakova COLING20 [pdf]
• Multilingual Emoticon Prediction of Tweets about COVID-19 Stefanos Stoikos, Mike Izbicki COLING20 [pdf]
• Covid or not Covid? Topic Shift in Information Cascades on Twitter Liana Ermakova, Diana Nurbakova, Irina Ovchinnikova COLING20 [pdf]
• COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media Joseph Cornelius, Tilia Ellendorff, Lenz Furrer, Fabio Rinaldi COLING20 [pdf]

EMNLP20

• SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search Sean MacAvaney, Arman Cohan, Nazli Goharian EMNLP20 [pdf]
• SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel Weld, Marti Hearst, Jevin West EMNLP20 [pdf]
• BENNERD: A Neural Named Entity Linking System for COVID-19 Mohammad Golam Sohrab, Khoa Duong, Makoto Miwa, Goran Topić, Ikeda Masami, Takamura Hiroya EMNLP20 [pdf]
• Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA Nina Poerner, Ulli Waltinger, Hinrich Schütze EMNLP20 [pdf]
• Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu EMNLP20 [pdf]
• Document Classification for COVID-19 Literature Bernal Jimenez Gutierrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su EMNLP20 [pdf]
• Answering Questions on COVID-19 in Real-Time Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, WonJin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang EMNLP20 [pdf]
• CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles Zubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A. Akhondi, Pascal Coupet, George Tsatsaronis EMNLP20 [pdf]
• Frugal neural reranking: evaluation on the Covid-19 literature Tiago Almeida, Sérgio Matos EMNLP20 [pdf]
• COVID-19 Literature Topic-Based Search via Hierarchical NMF Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell EMNLP20 [pdf]
• TICO-19: the Translation Initiative for COvid-19 Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Franscisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, Will Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur EMNLP20 [pdf]
• Expressive Interviewing: A Conversational System for Coping with COVID-19 Charles Welch, Allison Lahnala, Veronica Perez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James Pennebaker, Rada Mihalcea EMNLP20 [pdf]
• Quantifying the Effects of COVID-19 on Mental Health Support Forums Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea EMNLP20 [pdf]
• COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning Brandon Lwowski, Peyman Najafirad EMNLP20 [pdf]
• Explaining the Trump Gap in Social Distancing Using COVID Discourse Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes Eichstaedt EMNLP20 [pdf]
• COVIDLies: Detecting COVID-19 Misinformation on Social Media Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh EMNLP20 [pdf]
• Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Šuster EMNLP20 [pdf]
• A System for Worldwide COVID-19 Information Aggregation Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong EMNLP20 [pdf]
• CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham Barezi, Pascale Fung EMNLP20 [pdf]
• Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature Arantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, Eneko Agirre EMNLP20 [pdf]
• Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani EMNLP20 [pdf]
• Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Janjua EMNLP20 [pdf]
• Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures Lin Miao, Mark Last, Marina Litvak EMNLP20 [pdf]
• COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities Marcia Afonso Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, Francisco M. Couto EMNLP20 [pdf]
• Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature Abdullatif Köksal, Hilal Dönmez, Rıza Özçelik, Elif Ozkirimli, Arzucan Özgür EMNLP20 [pdf]
• Knowledge Discovery in COVID-19 Research Literature Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, Yudivián Almeida-Cruz EMNLP20 [pdf]
• Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, Dalal Alajaji, Mashail Alturki, Jaida Alsuhaibani, Fawziah Aljabli EMNLP20 [pdf]
• Characterizing drug mentions in COVID-19 Twitter Chatter Ramya Tekumalla, Juan M Banda EMNLP20 [pdf]
• Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP Pedram Hosseini, Poorya Hosseini, David Broniatowski EMNLP20 [pdf]
• Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature Nico Colic, Lenz Furrer, Fabio Rinaldi EMNLP20 [pdf]
• AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature Keith Suderman, Nancy Ide, Verhagen Marc, Brent Cochran, James Pustejovsky EMNLP20 [pdf]
• Concept Wikification for COVID-19 Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min EMNLP20 [pdf]
• Developing a Curated Topic Model for COVID-19 Medical Research Literature Philip Resnik, Katherine E. Goodman, Mike Moran EMNLP20 [pdf]
• Collecting Verified COVID-19 Question Answer Pairs Adam Poliak, Max Fleming, Cash Costello, Kenton W Murray, Mahsa Yarmohammadi, Shivani Pandya, Darius Irani, Milind Agarwal, Udit Sharma, Shuo Sun, Nicola Ivanov, Lingxi Shang, Kaushik Srinivasan, Seolhwa Lee, Xu Han, Smisha Agarwal, João Sedoc EMNLP20 [pdf]
• A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2 Robert Leaman, Zhiyong Lu EMNLP20 [pdf]
• Using the Poly-encoder for a COVID-19 Question Answering System Seolhwa Lee, João Sedoc EMNLP20 [pdf]
• Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo Yong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao EMNLP20 [pdf]
• Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings Roshan Santosh, H. Schwartz, Johannes Eichstaedt, Lyle Ungar, Sharath Chandra Guntuku EMNLP20 [pdf]
• Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research David Hardage, Peyman Najafirad EMNLP20 [pdf]
• Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments Andrei Mircea EMNLP20 [pdf]
• Measuring Linguistic Diversity During COVID-19 Jonathan Dunn, Tom Coupe, Benjamin Adams EMNLP20 [pdf]
• I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic Hui Xian Lynnette Ng, Roy Ka-Wei Lee, Md Rabiul Awal EMNLP20 [pdf]
• Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling Mohammadzaman Zamani, H. Andrew Schwartz, Johannes Eichstaedt, Sharath Chandra Guntuku, Adithya Virinchipuram Ganesan, Sean Clouston, Salvatore Giorgi EMNLP20 [pdf]
• A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Kocak, Elham Dolatabadi EMNLP20 [pdf]
• Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin EMNLP20 [pdf]
• ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora Sayantan Basu, Sinchani Chakraborty, Atif Hassan, Sana Siddique, Ashish Anand EMNLP20 [pdf]
• PublishInCovid19 at WNUT 2020 Shared Task-1: Entity Recognition in Wet Lab Protocols using Structured Learning Ensemble and Contextualised Embeddings Janvijay Singh, Anshul Wadhawan EMNLP20 [pdf]
• WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets Dat Quoc Nguyen, Thanh Vu, Afshin Rahimi, Mai Hoang Dao, Linh The Nguyen, Long Doan EMNLP20 [pdf]
• TATL at WNUT-2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets Anh Tuan Nguyen EMNLP20 [pdf]
• NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets Anders Giovanni Møller, Rob van der Goot, Barbara Plank EMNLP20 [pdf]
• Siva at WNUT-2020 Task 2: Fine-tuning Transformer Neural Networks for Identification of Informative Covid-19 Tweets Siva Sai EMNLP20 [pdf]
• Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting Anshul Wadhawan EMNLP20 [pdf]
• CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features Calum Perrio, Harish Tayyar Madabushi EMNLP20 [pdf]
• InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction Hansi Hettiarachchi, Tharindu Ranasinghe EMNLP20 [pdf]
• BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models Tin Huynh, Luan Thanh Luan, Son T. Luu EMNLP20 [pdf]
• UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter Arjun Magge, Varad Pimpalkhute, Divya Rallapalli, David Siguenza, Graciela Gonzalez-Hernandez EMNLP20 [pdf]
• UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network Khiem Tran, Hao Phan, Kiet Nguyen, Ngan Luu Thuy Nguyen EMNLP20 [pdf]
• CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets Fareen Tasneem, Jannatun Naim, Radiathun Tasnia, Tashin Hossain, Abu Nowshed Chy EMNLP20 [pdf]
• [email protected] at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT Supriya Chanda, Eshita Nandy, Sukomal Pal EMNLP20 [pdf]
• NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training Priyanshu Kumar, Aadarsh Singh EMNLP20 [pdf]
• DSC-IIT ISM at WNUT-2020 Task 2: Detection of COVID-19 informative tweets using RoBERTa Sirigireddy Dhana Laxmi, Rohit Agarwal, Aman Sinha EMNLP20 [pdf]
• Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation Vasudev Awatramani, Anupam Kumar EMNLP20 [pdf]
• NLPRL at WNUT-2020 Task 2: ELMo-based System for Identification of COVID-19 Tweets Rajesh Kumar Mundotiya, Rupjyoti Baruah, Bhavana Srivastava, Anil Kumar Singh EMNLP20 [pdf]
• IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, Noriko Takemura, Yuta Nakashima, Hajime Nagahara EMNLP20 [pdf]
• ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents Kellin Pelrine, Jacob Danovitch, Albert Orozco Camacho, Reihaneh Rabbany EMNLP20 [pdf]
• NIT_COVID-19 at WNUT-2020 Task 2: Deep Learning Model RoBERTa for Identify Informative COVID-19 English Tweets Jagadeesh M S, Alphonse P J A EMNLP20 [pdf]
• EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets Nickil Maveli EMNLP20 [pdf]
• GCDH at WNUT-2020 Task 2: BERT-Based Models for the Detection of Informativeness in English COVID-19 Related Tweets Hanna Varachkina, Stefan Ziehe, Tillmann Dönicke, Franziska Pannach EMNLP20 [pdf]
• Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets Thai Hoang, Phuong Vu EMNLP20 [pdf]
• CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models Yandrapati Prakash Babu, Rajagopal Eswari EMNLP20 [pdf]
• Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT Dylan Whang, Soroush Vosoughi EMNLP20 [pdf]
• ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings Wava Carissa Putri, Rani Aulia Hidayat, Isnaini Nurul Khasanah, Rahmad Mahendra EMNLP20 [pdf]
• imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis EMNLP20 [pdf]
• UCD-CS at W-NUT 2020 Shared Task-3: A Text to Text Approach for COVID-19 Event Extraction on Social Media Congcong Wang, David Lillis EMNLP20 [pdf]
• Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets Ayush Kaushal, Tejas Vaidhya EMNLP20 [pdf]
• HLTRI at W-NUT 2020 Shared Task-3: COVID-19 Event Extraction from Twitter Using Multi-Task Hopfield Pooling Maxwell Weinzierl, Sanda Harabagiu EMNLP20 [pdf]

Findings of EMNLP20

• Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA Nina Poerner, Ulli Waltinger, Hinrich Schütze Findings of EMNLP20 [pdf]
• Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu Findings of EMNLP20 [pdf]
• Document Classification for COVID-19 Literature Bernal Jimenez Gutierrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su Findings of EMNLP20 [pdf]

CCL20

• 新型冠状病毒肺炎相关的推特主题与情感研究(Exploring COVID-19-related Twitter Topic Dynamics across Countries) Shuailong Liang (梁帅龙), Derek F. Wong (黄辉), Yue Zhang (张岳) CCL20 [pdf]