├── .gitattributes ├── pic └── corona.png └── README.md /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /pic/corona.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/xcfcode/covid19-nlp-papers/HEAD/pic/corona.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # COVID-19 Related NLP Papers 2 | 3 | ![](https://img.shields.io/badge/Status-building-brightgreen) ![](https://img.shields.io/badge/PRs-Welcome-red) 4 | 5 | Contributed by [Xiachong Feng](http://xcfeng.net/), [Libo Qin](http://ir.hit.edu.cn/~lbqin/), [Xiao Xu](http://ir.hit.edu.cn/~xxu/) 6 | 7 | COVID-19 outbreak has become a global pandemic. NLP researchers are fighting the epidemic in their own way. 8 | 9 | ![https://goodera.com/blog/sustainability/how-companies-can-lead-the-fight-against-the-spread-of-covid-19/](./pic/corona.png) 10 | *pic from https://goodera.com/blog/sustainability/how-companies-can-lead-the-fight-against-the-spread-of-covid-19/* 11 | 12 | ## Table of Contents 13 | 14 | - [Resource](#Resource) 15 | - [Papers](#Papers) 16 | - [AAAI21](#AAAI21) 17 | - [NAACL21](#NAACL21) 18 | - [KDD20](#KDD20) 19 | - [AACL20](#AACL20) 20 | - [ACL20](#ACL20) 21 | - [EACL20](#EACL20) 22 | - [COLING20](#COLING20) 23 | - [EMNLP20](#EMNLP20) 24 | - [Findings of EMNLP20](#Findings-of-EMNLP20) 25 | - [CCL20](#CCL20) 26 | 27 | ## Resource 28 | * 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]](https://github.com/delvinso/covid19_unique_tweets) 29 | * COVID-19 Open Research Dataset Challenge (CORD-19) [[Kaggle]](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge/) 30 | * API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources. [[COVID-QA]](https://github.com/deepset-ai/COVID-QA) 31 | 32 | ## Papers 33 | * **Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns** *Alfonso Semeraro, Salvatore Vilella, Giancarlo Ruffo, Massimo Stella* [[pdf]](https://arxiv.org/abs/2201.07538) 34 | * **An Opinion Mining of Text in COVID-19 Issues along with Comparative Study in ML, BERT & RNN** *Md. Mahadi Hasan Sany, Mumenunnesa Keya, Sharun Akter Khushbu, Akm Shahariar Azad Rabby, Abu Kaisar Mohammad Masum* [[pdf]](https://arxiv.org/abs/2201.02119) 35 | * **A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets** *Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani* [[pdf]](https://arxiv.org/abs/2111.08658) 36 | * **Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19** *James Powell, Kari Sentz* [[pdf]](https://arxiv.org/abs/2110.13971) 37 | * **Prioritization of COVID-19-related literature via unsupervised keyphrase extraction and document representation learning** *Blaž Škrlj, Marko Jukič, Nika Eržen, Senja Pollak, Nada Lavrač* [[pdf]](https://arxiv.org/abs/2110.08874) 38 | * **COVIDRead: A Large-scale Question Answering Dataset on COVID-19** *Tanik Saikh, Sovan Kumar Sahoo, Asif Ekbal, Pushpak Bhattacharyya* [[pdf]](https://arxiv.org/abs/2110.09321) 39 | * **Open-Domain Question-Answering for COVID-19 and Other Emergent Domains** *Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang* [[pdf]](https://arxiv.org/abs/2110.06962) 40 | * **Unsupervised Text Mining of COVID-19 Records** *Mohamad Zamini* [[pdf]](https://arxiv.org/abs/2110.07357) 41 | * **Cross-lingual COVID-19 Fake News Detection** *Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing Ma, Philip S. Yu* [[pdf]](https://arxiv.org/abs/2110.06495) 42 | * **COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India** [[pdf]](https://arxiv.org/abs/2110.02311) 43 | * **AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Dataset** [[pdf]](https://arxiv.org/abs/2110.01948) 44 | * **Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews** [[pdf]](https://arxiv.org/abs/2110.02198) 45 | * **Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic** *Wenjia Zhang, Lin Gui, Yulan He* [[pdf]](https://arxiv.org/abs/2109.01850) 46 | * **Discourse Analysis of Covid-19 in Persian Twitter Social Networks Using Graph Mining and Natural Language Processing** *Omid Shokrollahi, Niloofar Hashemi, Mohammad Dehghani* [[pdf]](https://arxiv.org/abs/2109.00298) 47 | * **Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic** *Rong-Ching Chang, Chu-Hsing Lin* [[pdf]](https://arxiv.org/abs/2108.12269) 48 | * **How COVID-19 has Impacted American Attitudes Toward China: A Study on Twitter** *Gavin Cook, Junming Huang, Yu Xie* [[pdf]](https://arxiv.org/abs/2108.11040) 49 | * **Sentiment Analysis of the COVID-related r/Depression Posts** *Zihan Chen, Marina Sokolova* [[pdf]](https://arxiv.org/abs/2108.06215) 50 | * **Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning** `Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui` [[pdf]](https://arxiv.org/abs/2108.05067) 51 | * **Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives** *Sajad Dadgar, Mehdi Ghatee* [[pdf]](https://arxiv.org/abs/2107.09768) 52 | * **Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic** *Xiangpeng Wan, Michael C. Lucic, Hakim Ghazzai, Yehia Massoud* [[pdf]](https://arxiv.org/abs/2106.09572) 53 | * **Interpretable Self-supervised Multi-task Learning for COVID-19 Information Retrieval and Extraction** [[pdf]](https://arxiv.org/abs/2106.08252) 54 | * **Insight from NLP Analysis: COVID-19 Vaccines Sentiments on Social Media** *Tao Na, Wei Cheng, Dongming Li, Wanyu Lu, Hongjiang Li* [[pdf]](https://arxiv.org/abs/2106.04081) 55 | * **Impact of detecting clinical trial elements in exploration of COVID-19 literature** *Simon Šuster, Karin Verspoor, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez, Yulia Otmakhova* [[pdf]](https://arxiv.org/abs/2105.12261) 56 | * **Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data** *Andrew Bennett, Dipendra Misra, Nga Than* [[pdf]](https://arxiv.org/abs/2105.10165) 57 | * **Social Behavior and Mental Health: A Snapshot Survey under COVID-19 Pandemic** *Sahraoui Dhelim, Liming Luke Chen, Huansheng Ning, Sajal K Das, Chris Nugent, Devin Burns, Gerard Leavey, Dirk Pesch, Eleanor Bantry-White* [[pdf]](https://arxiv.org/abs/2105.08165) 58 | * **Looking for COVID-19 misinformation in multilingual social media texts** *Raj Ratn Pranesh, Mehrdad Farokhnejad, Ambesh Shekhar, Genoveva Vargas-Solar* [[pdf]](https://arxiv.org/abs/2105.03313) 59 | * **ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19** *Bonan Min, Benjamin Rozonoyer, Haoling Qiu, Alexander Zamanian, Jessica MacBride* [[pdf]](https://arxiv.org/abs/2105.01819) 60 | * **An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China** *Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang* `Proceedings of the 2020 IEEE International Conference on Big Data` [[pdf]](https://arxiv.org/abs/2007.08254) 61 | * **Analysis of Collective Response Reveals that COVID-19-Related Activities Start From the End of 2019 in Mainland China** *Ji Liu, Tongtong Huang, Haoyi Xiong, Jizhou Huang, Jingbo Zhou, Haiyan Jiang, Guanhua Yang, Haifeng Wang, Dejing Dou* [[pdf]](https://www.medrxiv.org/content/10.1101/2020.10.14.20202531v1) 62 | * **Understanding the Collective Responses of Populations to the COVID-19 Pandemic in Mainland China** *Haoyi Xiong, Ji Liu, Jizhou Huang, Siyu Huang, Haozhe An, Qi Kang, Ying Li, Dejing Dou, Haifeng Wang* [[pdf]](https://www.medrxiv.org/content/10.1101/2020.04.20.20068676v3) 63 | * **Quantifying the Economic Impact of COVID-19 in Mainland China Using Human Mobility Data** *Jizhou Huang, Haifeng Wang, Haoyi Xiong, Miao Fan, An Zhuo, Ying Li, Dejing Dou* [[pdf]](https://arxiv.org/abs/2005.03010) 64 | * **LitCovid: an open database of COVID-19 literature** *Qingyu Chen, Alexis Allot, Zhiyong Lu* `Nucleic Acids Research 2020` [[pdf]](https://academic.oup.com/nar/article/49/D1/D1534/5964074) 65 | * **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]](https://arxiv.org/abs/2010.16413) 66 | * **Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery** *Tianyue Cheng, Tianchi Fan, Landi Wang* [[pdf]](https://arxiv.org/abs/2104.11674) 67 | * **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]](https://arxiv.org/abs/2104.10807) 68 | * **COVID-19 sentiment analysis via deep learning during the rise of novel cases** *Rohitash Chandra, Aswin Krishna* [[pdf]](https://arxiv.org/abs/2104.10662) 69 | * **Analyzing COVID-19 Tweets with Transformer-based Language Models** *Philip Feldman, Sim Tiwari, Charissa S. L. Cheah, James R. Foulds, Shimei Pan* [[pdf]](https://arxiv.org/abs/2104.10259) 70 | * **Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT** *Kristen Scott, Pieter Delobelle, Bettina Berendt* [[pdf]](https://arxiv.org/abs/2104.09947) 71 | * **Event-driven timeseries analysis and the comparison of public reactions on COVID-19** *Md. Khayrul Bashar* [[pdf]](https://arxiv.org/abs/2104.14777) 72 | * **Textual Analysis of Communications in COVID-19 Infected Community on Social Media** *Yuhan Liu, Yuhan Gao, Zhifan Nan, Long Chen* [[pdf]](https://arxiv.org/abs/2105.01189) 73 | * *adding......* 74 | 75 | ## ACL21 76 | * **COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic** *Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan* `ACL 2021` [[pdf]](https://arxiv.org/abs/2106.03794) 77 | * **Investigating label suggestions for opinion mining in German Covid-19 social media** *Tilman Beck, Ji-Ung Lee, Christina Viehmann, Marcus Maurer, Oliver Quiring, Iryna Gurevych* `ACL21` [[pdf]](https://arxiv.org/abs/2105.12980) [[code]](https://github.com/UKPLab/acl2021-label-suggestions-german-covid19) 78 | 79 | ## AAAI21 80 | * **C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak** *Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou* [[pdf]](https://arxiv.org/abs/2012.12169) 81 | 82 | ## NAACL21 83 | * **COVID-19 named entity recognition for Vietnamese** *Thinh Hung Truong, Mai Hoang Dao and Dat Quoc Nguyen* `NAACL21` [[pdf]](https://arxiv.org/abs/2104.03879) 84 | * **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]](https://arxiv.org/abs/2010.03824) 85 | * **Transformers to Fight the COVID-19 Infodemic** *Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi* `NAACL21` [[pdf]](https://arxiv.org/abs/2104.12201) 86 | 87 | ## KDD20 88 | * **Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data** *Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Yibo Sun, Ying Li* `KDD20` [[pdf]](https://dl.acm.org/doi/10.1145/3394486.3412856) 89 | 90 | ## AACL20 91 | * **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]](https://www.aclweb.org/anthology/2020.knlp-1.1/) 92 | 93 | ## ACL20 94 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.1/) 95 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.2/) 96 | * **Document Classification for COVID-19 Literature** *https://www.aclweb.org/anthology/2020.nlpcovid19-acl.3/* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.3/) 97 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.4/) 98 | * **Self-supervised context-aware COVID-19 document exploration through atlas grounding** *Dusan Grujicic, Gorjan Radevski, Tinne Tuytelaars, Matthew Blaschko* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.5/) 99 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.6/) 100 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.7/) 101 | * **What Are People Asking About COVID-19? A Question Classification Dataset** *Jerry Wei, Chengyu Huang, Soroush Vosoughi, Jason Wei* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.8/) 102 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.9/) 103 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.10/) 104 | * **Measuring Emotions in the COVID-19 Real World Worry Dataset** *Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes* `ACl20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.11/) 105 | * **Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic** *JT Wolohan* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.12/) 106 | * **Exploration of Gender Differences in COVID-19 Discourse on Reddit** *Jai Aggarwal, Ella Rabinovich, Suzanne Stevenson* `ACl20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.13/) 107 | * **Cross-language sentiment analysis of European Twitter messages during the COVID-19 pandemic** *Anna Kruspe, Matthias Häberle, Iona Kuhn, Xiao Xiang Zhu* `ACl20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.14/) 108 | * **Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment** *Sharon Levy, William Yang Wang* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.15/) 109 | * **COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?** *Lama Alsudias, Paul Rayson* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.16/) 110 | * **NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube** *Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.17/) 111 | * **COVID-QA: A Question Answering Dataset for COVID-19** *Timo Möller, Anthony Reina, Raghavan Jayakumar, Malte Pietsch* `ACL20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-acl.18/) 112 | 113 | ## EACL20 114 | * **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]](https://www.aclweb.org/anthology/2021.eacl-main.298/) 115 | * **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]](https://www.aclweb.org/anthology/2021.eacl-demos.4/) 116 | * **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]](https://www.aclweb.org/anthology/2021.eacl-demos.12/) 117 | * **A COVID-19 news coverage mood map of Europe** *Frankie Robertson, Jarkko Lagus, Kaisla Kajava* `EACL20` [[pdf]](https://www.aclweb.org/anthology/2021.hackashop-1.15/) 118 | * **ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic** *Hamdy Mubarak, Sabit Hassan* `EACL20` [[pdf]](https://www.aclweb.org/anthology/2021.louhi-1.1/) 119 | * **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]](https://www.aclweb.org/anthology/2021.louhi-1.3/) 120 | * **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]](https://www.aclweb.org/anthology/2021.ltedi-1.1/) 121 | * **ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection** *Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed* `EACL20` [[pdf]](https://www.aclweb.org/anthology/2021.wanlp-1.8/) 122 | * **ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks** *Fatima Haouari, Maram Hasanain, Reem Suwaileh, Tamer Elsayed* `EACL20` [[pdf]](https://www.aclweb.org/anthology/2021.wanlp-1.9/) 123 | * **Partisanship and Fear are Associated with Resistance to COVID-19 Directives** *Mike Lindow, David DeFranza, Arul Mishra, Himanshu Mishra* `EACL20` [[pdf]](https://www.aclweb.org/anthology/2021.wassa-1.3/) 124 | 125 | ## COLING20 126 | * **InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research** *Claire Bonial, Stephanie M. Lukin, David Doughty, Steven Hill, Clare Voss* `COLING20` [[pdf]](https://www.aclweb.org/anthology/2020.dmr-1.7/) 127 | * **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]](https://www.aclweb.org/anthology/2020.finnlp-1.9/) 128 | * **Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking** *Rutvik Vijjali, Prathyush Potluri, Siddharth Kumar, Sundeep Teki* `COLING20` [[pdf]](https://www.aclweb.org/anthology/2020.nlp4if-1.1/) 129 | * **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]](https://www.aclweb.org/anthology/2020.peoples-1.8/) 130 | * **Topic and Emotion Development among Dutch COVID-19 Twitter Communities in the early Pandemic** *Boris Marinov, Jennifer Spenader, Tommaso Caselli* `COLING20` [[pdf]](https://www.aclweb.org/anthology/2020.peoples-1.9/) 131 | * **Sentiments in Russian Medical Professional Discourse during the Covid-19 Pandemic** *Irina Ovchinnikova, Liana Ermakova, Diana Nurbakova* `COLING20` [[pdf]](https://www.aclweb.org/anthology/2020.peoples-1.10/) 132 | * **Multilingual Emoticon Prediction of Tweets about COVID-19** *Stefanos Stoikos, Mike Izbicki* `COLING20` [[pdf]](https://www.aclweb.org/anthology/2020.peoples-1.11/) 133 | * **Covid or not Covid? Topic Shift in Information Cascades on Twitter** *Liana Ermakova, Diana Nurbakova, Irina Ovchinnikova* `COLING20` [[pdf]](https://www.aclweb.org/anthology/2020.rdsm-1.3/) 134 | * **COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media** *Joseph Cornelius, Tilia Ellendorff, Lenz Furrer, Fabio Rinaldi* `COLING20` [[pdf]](https://www.aclweb.org/anthology/2020.smm4h-1.1/) 135 | 136 | ## EMNLP20 137 | * **SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search** *Sean MacAvaney, Arman Cohan, Nazli Goharian* `EMNLP20` [[pdf]]() 138 | * **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]](https://www.aclweb.org/anthology/2020.emnlp-demos.18/) 139 | * **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]](https://www.aclweb.org/anthology/2020.emnlp-demos.24/) 140 | * **Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA** *Nina Poerner, Ulli Waltinger, Hinrich Schütze* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.findings-emnlp.134/) 141 | * **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]](https://www.aclweb.org/anthology/2020.findings-emnlp.216/) 142 | * **Document Classification for COVID-19 Literature** *Bernal Jimenez Gutierrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.findings-emnlp.332/) 143 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.1/) 144 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.2/) 145 | * **Frugal neural reranking: evaluation on the Covid-19 literature** *Tiago Almeida, Sérgio Matos* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.3/) 146 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.4/) 147 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.5/) 148 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.6/) 149 | * **Quantifying the Effects of COVID-19 on Mental Health Support Forums** *Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.8/) 150 | * **COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning** *Brandon Lwowski, Peyman Najafirad* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.9/) 151 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.10/) 152 | * **COVIDLies: Detecting COVID-19 Misinformation on Social Media** *Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.11/) 153 | * **Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration** *Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Šuster* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.12/) 154 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.13/) 155 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.14/) 156 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.15/) 157 | * **Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media** *Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.17/) 158 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.18/) 159 | * **Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures** *Lin Miao, Mark Last, Marina Litvak* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.19/) 160 | * **COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities** *Marcia Afonso Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, Francisco M. Couto* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.20/) 161 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.21/) 162 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.22/) 163 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.24/) 164 | * **Characterizing drug mentions in COVID-19 Twitter Chatter** *Ramya Tekumalla, Juan M Banda* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.25/) 165 | * **Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP** *Pedram Hosseini, Poorya Hosseini, David Broniatowski* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.26/) 166 | * **Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature** *Nico Colic, Lenz Furrer, Fabio Rinaldi* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.27/) 167 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.28/) 168 | * **Concept Wikification for COVID-19** *Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.29/) 169 | * **Developing a Curated Topic Model for COVID-19 Medical Research Literature** *Philip Resnik, Katherine E. Goodman, Mike Moran* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.30/) 170 | * **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]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.31/) 171 | * **A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2** *Robert Leaman, Zhiyong Lu* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.32/) 172 | * **Using the Poly-encoder for a COVID-19 Question Answering System** *Seolhwa Lee, João Sedoc* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.33/) 173 | * **Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo** *Yong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.34/) 174 | * **Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings** *Roshan Santosh, H. Schwartz, Johannes Eichstaedt, Lyle Ungar, Sharath Chandra Guntuku* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.35/) 175 | * **Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research** *David Hardage, Peyman Najafirad* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.36/) 176 | * **Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments** *Andrei Mircea* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcovid19-2.37/) 177 | * **Measuring Linguistic Diversity During COVID-19** *Jonathan Dunn, Tom Coupe, Benjamin Adams* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcss-1.1/) 178 | * **I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic** *Hui Xian Lynnette Ng, Roy Ka-Wei Lee, Md Rabiul Awal* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.nlpcss-1.5/) 179 | * **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]](https://www.aclweb.org/anthology/2020.nlpcss-1.21/) 180 | * **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]](https://www.aclweb.org/anthology/2020.sdp-1.4/) 181 | * **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]](https://www.aclweb.org/anthology/2020.sdp-1.5/) 182 | * **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]](https://www.aclweb.org/anthology/2020.sdp-1.15/) 183 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.35/) 184 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.41/) 185 | * **TATL at WNUT-2020 Task 2: A Transformer-based Baseline System for Identification of Informative COVID-19 English Tweets** *Anh Tuan Nguyen* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.42/) 186 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.44/) 187 | * **Siva at WNUT-2020 Task 2: Fine-tuning Transformer Neural Networks for Identification of Informative Covid-19 Tweets** *Siva Sai* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.45/) 188 | * **Phonemer at WNUT-2020 Task 2: Sequence Classification Using COVID Twitter BERT and Bagging Ensemble Technique based on Plurality Voting** *Anshul Wadhawan* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.47/) 189 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.48/) 190 | * **InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction** *Hansi Hettiarachchi, Tharindu Ranasinghe* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.49/) 191 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.50/) 192 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.52/) 193 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.53/) 194 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.55/) 195 | * **IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT** *Supriya Chanda, Eshita Nandy, Sukomal Pal* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.56/) 196 | * **NutCracker at WNUT-2020 Task 2: Robustly Identifying Informative COVID-19 Tweets using Ensembling and Adversarial Training** *Priyanshu Kumar, Aadarsh Singh* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.57/) 197 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.58/) 198 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.59/) 199 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.60/) 200 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.62/) 201 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.63/) 202 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.66/) 203 | * **EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets** *Nickil Maveli* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.67/) 204 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.68/) 205 | * **Not-NUTs at WNUT-2020 Task 2: A BERT-based System in Identifying Informative COVID-19 English Tweets** *Thai Hoang, Phuong Vu* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.69/) 206 | * **CIA_NITT at WNUT-2020 Task 2: Classification of COVID-19 Tweets Using Pre-trained Language Models** *Yandrapati Prakash Babu, Rajagopal Eswari* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.70/) 207 | * **Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT** *Dylan Whang, Soroush Vosoughi* `EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.wnut-1.72/) 208 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.74/) 209 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.77/) 210 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.78/) 211 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.79/) 212 | * **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]](https://www.aclweb.org/anthology/2020.wnut-1.80/) 213 | 214 | ## Findings of EMNLP20 215 | * **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]](https://www.aclweb.org/anthology/2020.findings-emnlp.134/) 216 | * **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]](https://www.aclweb.org/anthology/2020.findings-emnlp.216/) 217 | * **Document Classification for COVID-19 Literature** *Bernal Jimenez Gutierrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su* `Findings of EMNLP20` [[pdf]](https://www.aclweb.org/anthology/2020.findings-emnlp.332/) 218 | 219 | ## CCL20 220 | * **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]](https://www.aclweb.org/anthology/2020.ccl-1.66/) 221 | 222 | --------------------------------------------------------------------------------