---
title: "Workshop on NLP for COVID-19 at EMNLP 2020 — all accepted"
description: "All 55 papers of Workshop on NLP for COVID-19 at EMNLP 2020, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/nlpcovid19/2020/papers/"
---
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# Workshop on NLP for COVID-19 at EMNLP 2020: all accepted papers

55 papers · the most cited first · [← Workshop on NLP for COVID-19 at EMNLP 2020](https://md.research.elamur.ai/free/en/venues/nlpcovid19/2020/)

1. **[COVIDLies: Detecting COVID-19 Misinformation on Social Media](https://md.research.elamur.ai/free/en/papers/hossain-2020-covidlies-detecting-covid-19-misinformation/)**Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte et al.*208 citations · our summary*
2. **[CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management ↗](https://aclanthology.org/2020.nlpcovid19-2.14/)**Dan Su, Yan Xu, Tiezheng Yu et al.*88 citations*
3. **[Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo ↗](https://aclanthology.org/2020.nlpcovid19-2.34/)**Yong Hu, Heyan Huang, Anfan Chen et al.*55 citations*
4. **[Answering Questions on COVID-19 in Real-Time ↗](https://aclanthology.org/2020.nlpcovid19-2.1/)**Jinhyuk Lee, Sean S. Yi, Minbyul Jeong et al.*47 citations*
5. **[TICO-19: the Translation Initiative for COvid-19](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2020-tico-19-translation-initiative-covid/)**Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou et al.*46 citations · our summary*
6. **[Expressive Interviewing: A Conversational System for Coping with COVID-19 ↗](https://aclanthology.org/2020.nlpcovid19-2.6/)**Charles Welch, Allison Lahnala, Veronica Perez-Rosas et al.*36 citations*
7. **[Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP ↗](https://aclanthology.org/2020.nlpcovid19-2.26/)**Pedram Hosseini, Poorya Hosseini, David Broniatowski*29 citations*
8. **[Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures ↗](https://aclanthology.org/2020.nlpcovid19-2.19/)**Lin Miao, Mark Last, Marina Litvak*23 citations*
9. **[Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes ↗](https://aclanthology.org/2020.nlpcovid19-2.18/)**Hyeju Jang, Emily Rempel, Giuseppe Carenini et al.*21 citations*
10. **[Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature ↗](https://aclanthology.org/2020.nlpcovid19-2.27/)**Nico Colic, Lenz Furrer, Fabio Rinaldi*20 citations*
11. **[Quantifying the Effects of COVID-19 on Mental Health Support Forums ↗](https://aclanthology.org/2020.nlpcovid19-2.8/)**Laura Biester, Katie Matton, Janarthanan Rajendran et al.*20 citations*
12. **[Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media ↗](https://aclanthology.org/2020.nlpcovid19-2.17/)**Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang et al.*17 citations*
13. **[Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case ↗](https://aclanthology.org/2020.nlpcovid19-2.24/)**Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali et al.*17 citations*
14. **[Collecting Verified COVID-19 Question Answer Pairs ↗](https://aclanthology.org/2020.nlpcovid19-2.31/)**Adam Poliak, Max Fleming, Cash Costello et al.*16 citations*
15. **[A Multilingual Neural Machine Translation Model for Biomedical Data ↗](https://aclanthology.org/2020.nlpcovid19-2.16/)**Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina et al.*14 citations*
16. **[Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research ↗](https://aclanthology.org/2020.nlpcovid19-2.36/)**David Hardage, Peyman Najafirad*14 citations*
17. **[Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature ↗](https://aclanthology.org/2020.nlpcovid19-2.15/)**Arantxa Otegi, Jon Ander Campos, Gorka Azkune et al.*13 citations*
18. **[Characterizing drug mentions in COVID-19 Twitter Chatter ↗](https://aclanthology.org/2020.nlpcovid19-2.25/)**Ramya Tekumalla, Juan M Banda*12 citations*
19. **[Explaining the Trump Gap in Social Distancing Using COVID Discourse ↗](https://aclanthology.org/2020.nlpcovid19-2.10/)**Austin van Loon, Sheridan Stewart, Brandon Waldon et al.*11 citations*
20. **[Temporal Mental Health Dynamics on Social Media ↗](https://aclanthology.org/2020.nlpcovid19-2.7/)**Tom Tabak, Matthew Purver*11 citations*
21. **[Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature ↗](https://aclanthology.org/2020.nlpcovid19-2.21/)**Abdullatif Köksal, Hilal Dönmez, Rıza Özçelik et al.*11 citations*
22. **[COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning ↗](https://aclanthology.org/2020.nlpcovid19-2.9/)**Brandon Lwowski, Peyman Najafirad*9 citations*
23. **[A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2 ↗](https://aclanthology.org/2020.nlpcovid19-2.32/)**Robert Leaman, Zhiyong Lu*7 citations*
24. **[Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings ↗](https://aclanthology.org/2020.nlpcovid19-2.35/)**Roshan Santosh, H. Andrew Schwartz, Johannes Eichstaedt et al.*7 citations*
25. **[Developing a Curated Topic Model for COVID-19 Medical Research Literature ↗](https://aclanthology.org/2020.nlpcovid19-2.30/)**Philip Resnik, Katherine E. Goodman, Mike Moran*7 citations*
26. **[Identifying pandemic-related stress factors from social-media posts – Effects on students and young-adults ↗](https://aclanthology.org/2020.nlpcovid19-2.23/)**Sachin Thukral, Suyash Sangwan, Arnab Chatterjee et al.*7 citations*
27. **[COVID-19 Literature Topic-Based Search via Hierarchical NMF ↗](https://aclanthology.org/2020.nlpcovid19-2.4/)**Rachel Grotheer, Longxiu Huang, Yihuan Huang et al.*6 citations*
28. **[Concept Wikification for COVID-19 ↗](https://aclanthology.org/2020.nlpcovid19-2.29/)**Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min*6 citations*
29. **[Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments ↗](https://aclanthology.org/2020.nlpcovid19-2.37/)**Andrei Mircea*6 citations*
30. **[A System for Worldwide COVID-19 Information Aggregation ↗](https://aclanthology.org/2020.nlpcovid19-2.13/)**Akiko Aizawa, Frederic Bergeron, Junjie Chen et al.*5 citations*
31. **[Frugal neural reranking: evaluation on the Covid-19 literature ↗](https://aclanthology.org/2020.nlpcovid19-2.3/)**Tiago Almeida, Sérgio Matos*5 citations*
32. **[COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities ↗](https://aclanthology.org/2020.nlpcovid19-2.20/)**Marcia Afonso Barros, Andre Lamurias, Diana Sousa et al.*4 citations*
33. **[Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration ↗](https://aclanthology.org/2020.nlpcovid19-2.12/)**Yulia Otmakhova, Karin Verspoor, Timothy Baldwin et al.*4 citations*
34. **[Using the Poly-encoder for a COVID-19 Question Answering System ↗](https://aclanthology.org/2020.nlpcovid19-2.33/)**Seolhwa Lee, João Sedoc*4 citations*
35. **[AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature ↗](https://aclanthology.org/2020.nlpcovid19-2.28/)**Keith Suderman, Nancy Ide, Marc Verhagen et al.*3 citations*
36. **[CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles ↗](https://aclanthology.org/2020.nlpcovid19-2.2/)**Zubair Afzal, Vikrant Yadav, Olga Fedorova et al.*2 citations*
37. **[Knowledge Discovery in COVID-19 Research Literature ↗](https://aclanthology.org/2020.nlpcovid19-2.22/)**Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares et al.*2 citations*
38. **[A Natural Language Processing System for National COVID-19 Surveillance in the US Department of Veterans Affairs ↗](https://aclanthology.org/2020.nlpcovid19-acl.10/)**Alec Chapman, Kelly Peterson, Augie Turano et al.
39. **[CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset ↗](https://aclanthology.org/2020.nlpcovid19-acl.6/)**Ting-Hao Kenneth Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding et al.
40. **[CORD-19: The COVID-19 Open Research Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-cord-19-covid-19-open/)**Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar et al.*our summary*
41. **[COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media? ↗](https://aclanthology.org/2020.nlpcovid19-acl.16/)**Lama Alsudias, Paul Rayson
42. **[COVID-QA: A Question Answering Dataset for COVID-19 ↗](https://aclanthology.org/2020.nlpcovid19-acl.18/)**Timo Möller, Anthony Reina, Raghavan Jayakumar et al.
43. **[Cross-language sentiment analysis of European Twitter messages during the COVID-19 pandemic ↗](https://aclanthology.org/2020.nlpcovid19-acl.14/)**Anna Kruspe, Matthias Häberle, Iona Kuhn et al.
44. **[Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment ↗](https://aclanthology.org/2020.nlpcovid19-acl.15/)**Sharon Levy, William Yang Wang
45. **[Document Classification for COVID-19 Literature ↗](https://aclanthology.org/2020.nlpcovid19-acl.3/)**Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang et al.
46. **[Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training ↗](https://aclanthology.org/2020.nlpcovid19-acl.4/)**Alexander Spangher, Nanyun Peng, Jonathan May et al.
47. **[Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic ↗](https://aclanthology.org/2020.nlpcovid19-acl.12/)**JT Wolohan
48. **[Exploration of Gender Differences in COVID-19 Discourse on Reddit ↗](https://aclanthology.org/2020.nlpcovid19-acl.13/)**Jai Aggarwal, Ella Rabinovich, Suzanne Stevenson
49. **[Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings ↗](https://aclanthology.org/2020.nlpcovid19-acl.7/)**Debasmita Das, Yatin Katyal, Janu Verma et al.
50. **[Jennifer for COVID-19: An NLP-Powered Chatbot Built for the People and by the People to Combat Misinformation ↗](https://aclanthology.org/2020.nlpcovid19-acl.9/)**Yunyao Li, Tyrone Grandison, Patricia Silveyra et al.
51. **[Measuring Emotions in the COVID-19 Real World Worry Dataset ↗](https://aclanthology.org/2020.nlpcovid19-acl.11/)**Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
52. **[NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube ↗](https://aclanthology.org/2020.nlpcovid19-acl.17/)**Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich
53. **[Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset ↗](https://aclanthology.org/2020.nlpcovid19-acl.2/)**Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira et al.
54. **[Self-supervised context-aware COVID-19 document exploration through atlas grounding ↗](https://aclanthology.org/2020.nlpcovid19-acl.5/)**Dusan Grujicic, Gorjan Radevski, Tinne Tuytelaars et al.
55. **[What Are People Asking About COVID-19? A Question Classification Dataset ↗](https://aclanthology.org/2020.nlpcovid19-acl.8/)**Jerry Wei, Chengyu Huang, Soroush Vosoughi et al.
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