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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

  1. COVIDLies: Detecting COVID-19 Misinformation on Social MediaTamanna Hossain, Robert L. Logan IV, Arjuna Ugarte et al.208 citations · our summary
  2. Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo ↗Yong Hu, Heyan Huang, Anfan Chen et al.55 citations
  3. Answering Questions on COVID-19 in Real-Time ↗Jinhyuk Lee, Sean S. Yi, Minbyul Jeong et al.47 citations
  4. TICO-19: the Translation Initiative for COvid-19Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou et al.46 citations · our summary
  5. Expressive Interviewing: A Conversational System for Coping with COVID-19 ↗Charles Welch, Allison Lahnala, Veronica Perez-Rosas et al.36 citations
  6. Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP ↗Pedram Hosseini, Poorya Hosseini, David Broniatowski29 citations
  7. Quantifying the Effects of COVID-19 on Mental Health Support Forums ↗Laura Biester, Katie Matton, Janarthanan Rajendran et al.20 citations
  8. Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media ↗Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang et al.17 citations
  9. Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case ↗Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali et al.17 citations
  10. Collecting Verified COVID-19 Question Answer Pairs ↗Adam Poliak, Max Fleming, Cash Costello et al.16 citations
  11. A Multilingual Neural Machine Translation Model for Biomedical Data ↗Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina et al.14 citations
  12. Characterizing drug mentions in COVID-19 Twitter Chatter ↗Ramya Tekumalla, Juan M Banda12 citations
  13. Explaining the Trump Gap in Social Distancing Using COVID Discourse ↗Austin van Loon, Sheridan Stewart, Brandon Waldon et al.11 citations
  14. Temporal Mental Health Dynamics on Social Media ↗Tom Tabak, Matthew Purver11 citations
  15. Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature ↗Abdullatif Köksal, Hilal Dönmez, Rıza Özçelik et al.11 citations
  16. Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings ↗Roshan Santosh, H. Andrew Schwartz, Johannes Eichstaedt et al.7 citations
  17. Developing a Curated Topic Model for COVID-19 Medical Research Literature ↗Philip Resnik, Katherine E. Goodman, Mike Moran7 citations
  18. COVID-19 Literature Topic-Based Search via Hierarchical NMF ↗Rachel Grotheer, Longxiu Huang, Yihuan Huang et al.6 citations
  19. Concept Wikification for COVID-19 ↗Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min6 citations
  20. A System for Worldwide COVID-19 Information Aggregation ↗Akiko Aizawa, Frederic Bergeron, Junjie Chen et al.5 citations
  21. COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities ↗Marcia Afonso Barros, Andre Lamurias, Diana Sousa et al.4 citations
  22. Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration ↗Yulia Otmakhova, Karin Verspoor, Timothy Baldwin et al.4 citations
  23. AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature ↗Keith Suderman, Nancy Ide, Marc Verhagen et al.3 citations
  24. Knowledge Discovery in COVID-19 Research Literature ↗Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares et al.2 citations
  25. CORD-19: The COVID-19 Open Research DatasetLucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar et al.our summary
  26. COVID-QA: A Question Answering Dataset for COVID-19 ↗Timo Möller, Anthony Reina, Raghavan Jayakumar et al.
  27. Document Classification for COVID-19 Literature ↗Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang et al.
  28. Exploration of Gender Differences in COVID-19 Discourse on Reddit ↗Jai Aggarwal, Ella Rabinovich, Suzanne Stevenson
  29. Measuring Emotions in the COVID-19 Real World Worry Dataset ↗Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
  30. NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube ↗Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich

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