Workshop on NLP for COVID-19 at EMNLP 2020: all accepted papers
- COVIDLies: Detecting COVID-19 Misinformation on Social MediaTamanna Hossain, Robert L. Logan IV, Arjuna Ugarte et al.208 citations · our summary
- CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management ↗Dan Su, Yan Xu, Tiezheng Yu et al.88 citations
- Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo ↗Yong Hu, Heyan Huang, Anfan Chen et al.55 citations
- Answering Questions on COVID-19 in Real-Time ↗Jinhyuk Lee, Sean S. Yi, Minbyul Jeong et al.47 citations
- TICO-19: the Translation Initiative for COvid-19Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou et al.46 citations · our summary
- Expressive Interviewing: A Conversational System for Coping with COVID-19 ↗Charles Welch, Allison Lahnala, Veronica Perez-Rosas et al.36 citations
- Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP ↗Pedram Hosseini, Poorya Hosseini, David Broniatowski29 citations
- Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures ↗Lin Miao, Mark Last, Marina Litvak23 citations
- Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes ↗Hyeju Jang, Emily Rempel, Giuseppe Carenini et al.21 citations
- Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature ↗Nico Colic, Lenz Furrer, Fabio Rinaldi20 citations
- Quantifying the Effects of COVID-19 on Mental Health Support Forums ↗Laura Biester, Katie Matton, Janarthanan Rajendran et al.20 citations
- Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media ↗Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang et al.17 citations
- Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case ↗Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali et al.17 citations
- Collecting Verified COVID-19 Question Answer Pairs ↗Adam Poliak, Max Fleming, Cash Costello et al.16 citations
- A Multilingual Neural Machine Translation Model for Biomedical Data ↗Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina et al.14 citations
- Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research ↗David Hardage, Peyman Najafirad14 citations
- Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature ↗Arantxa Otegi, Jon Ander Campos, Gorka Azkune et al.13 citations
- Characterizing drug mentions in COVID-19 Twitter Chatter ↗Ramya Tekumalla, Juan M Banda12 citations
- Explaining the Trump Gap in Social Distancing Using COVID Discourse ↗Austin van Loon, Sheridan Stewart, Brandon Waldon et al.11 citations
- Temporal Mental Health Dynamics on Social Media ↗Tom Tabak, Matthew Purver11 citations
- Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature ↗Abdullatif Köksal, Hilal Dönmez, Rıza Özçelik et al.11 citations
- COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning ↗Brandon Lwowski, Peyman Najafirad9 citations
- A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2 ↗Robert Leaman, Zhiyong Lu7 citations
- Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings ↗Roshan Santosh, H. Andrew Schwartz, Johannes Eichstaedt et al.7 citations
- Developing a Curated Topic Model for COVID-19 Medical Research Literature ↗Philip Resnik, Katherine E. Goodman, Mike Moran7 citations
- Identifying pandemic-related stress factors from social-media posts – Effects on students and young-adults ↗Sachin Thukral, Suyash Sangwan, Arnab Chatterjee et al.7 citations
- COVID-19 Literature Topic-Based Search via Hierarchical NMF ↗Rachel Grotheer, Longxiu Huang, Yihuan Huang et al.6 citations
- Concept Wikification for COVID-19 ↗Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min6 citations
- A System for Worldwide COVID-19 Information Aggregation ↗Akiko Aizawa, Frederic Bergeron, Junjie Chen et al.5 citations
- Frugal neural reranking: evaluation on the Covid-19 literature ↗Tiago Almeida, Sérgio Matos5 citations
- COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities ↗Marcia Afonso Barros, Andre Lamurias, Diana Sousa et al.4 citations
- Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration ↗Yulia Otmakhova, Karin Verspoor, Timothy Baldwin et al.4 citations
- Using the Poly-encoder for a COVID-19 Question Answering System ↗Seolhwa Lee, João Sedoc4 citations
- AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature ↗Keith Suderman, Nancy Ide, Marc Verhagen et al.3 citations
- CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles ↗Zubair Afzal, Vikrant Yadav, Olga Fedorova et al.2 citations
- Knowledge Discovery in COVID-19 Research Literature ↗Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares et al.2 citations
- A Natural Language Processing System for National COVID-19 Surveillance in the US Department of Veterans Affairs ↗Alec Chapman, Kelly Peterson, Augie Turano et al.
- 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 et al.
- CORD-19: The COVID-19 Open Research DatasetLucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar et al.our summary
- COVID-QA: A Question Answering Dataset for COVID-19 ↗Timo Möller, Anthony Reina, Raghavan Jayakumar et al.
- Cross-language sentiment analysis of European Twitter messages during the COVID-19 pandemic ↗Anna Kruspe, Matthias Häberle, Iona Kuhn et al.
- Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment ↗Sharon Levy, William Yang Wang
- Document Classification for COVID-19 Literature ↗Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang et al.
- Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training ↗Alexander Spangher, Nanyun Peng, Jonathan May et al.
- Exploration of Gender Differences in COVID-19 Discourse on Reddit ↗Jai Aggarwal, Ella Rabinovich, Suzanne Stevenson
- Information Retrieval and Extraction on COVID-19 Clinical Articles Using Graph Community Detection and Bio-BERT Embeddings ↗Debasmita Das, Yatin Katyal, Janu Verma et al.
- 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 et al.
- Measuring Emotions in the COVID-19 Real World Worry Dataset ↗Bennett Kleinberg, Isabelle van der Vegt, Maximilian Mozes
- NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTube ↗Juan Carlos Medina Serrano, Orestis Papakyriakopoulos, Simon Hegelich
- Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset ↗Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira et al.
- Self-supervised context-aware COVID-19 document exploration through atlas grounding ↗Dusan Grujicic, Gorjan Radevski, Tinne Tuytelaars et al.
- What Are People Asking About COVID-19? A Question Classification Dataset ↗Jerry Wei, Chengyu Huang, Soroush Vosoughi et al.
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