Table of Contents

• Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific LiteratureArantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, Eneko Agirre. [doi]
• COVID-19 Literature Topic-Based Search via Hierarchical NMFRachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell. [doi]
• CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information ManagementDan Su, Yan Xu 0012, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung. [doi]
• Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied ResearchDavid Hardage, Peyman Najafirad. [doi]
• AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 LiteratureKeith Suderman, Nancy Ide, Marc Verhagen, Brent Cochran, James Pustejovsky. [doi]
• Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention MeasuresLin Miao, Mark Last, Marina Litvak. [doi]
• Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 LiteratureNico Colic, Lenz Furrer, Fabio Rinaldi 0001. [doi]
• Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global DevelopmentsAndrei Mircea. [doi]
• Developing a Curated Topic Model for COVID-19 Medical Research LiteraturePhilip Resnik, Katherine E. Goodman, Mike Moran. [doi]
• A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2Robert Leaman, Zhiyong Lu. [doi]
• COVIDLies: Detecting COVID-19 Misinformation on Social MediaTamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh 0001. [doi]
• A System for Worldwide COVID-19 Information AggregationAkiko Aizawa, Frédéric Bergéron, 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. [doi]
• Explaining the Trump Gap in Social Distancing Using COVID DiscourseAustin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K. Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes C. Eichstaedt. [doi]
• Quantifying the Effects of COVID-19 on Mental Health Support ForumsLaura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea. [doi]
• Identifying pandemic-related stress factors from social-media posts - Effects on students and young-adultsSachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey. [doi]
• Using the Poly-encoder for a COVID-19 Question Answering SystemSeolhwa Lee, João Sedoc. [doi]
• Improved Topic Representations of Medical Documents to Assist COVID-19 Literature ExplorationYulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Suster. [doi]
• Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use CaseAseel Addawood, Alhanouf Alsuwailem, Ali Alohali, Dalal Alajaji, Mashail Alturki, Jaida Alsuhaibani, Fawziah Aljabli. [doi]
• Answering Questions on COVID-19 in Real-TimeJinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang. [doi]
• Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 LiteratureAbdullatif Köksal, Hilal Dönmez, Riza Özçelik, Elif Ozkirimli, Arzucan Özgür. [doi]
• Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLPPedram Hosseini, Poorya Hosseini, David A. Broniatowski. [doi]
• Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health InstitutesHyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Janjua. [doi]
• COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot LearningBrandon Lwowski, Peyman Najafirad. [doi]
• CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific ArticlesZubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A. Akhondi, Pascal Coupet, George Tsatsaronis 0001. [doi]
• Collecting Verified COVID-19 Question Answer PairsAdam 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. [doi]
• Knowledge Discovery in COVID-19 Research LiteratureAlejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz 0001, Yudivián Almeida-Cruz. [doi]
• Characterizing drug mentions in COVID-19 Twitter ChatterRamya Tekumalla, Juan M. Banda. [doi]
• Frugal neural reranking: evaluation on the Covid-19 literatureTiago Almeida, Sérgio Matos. [doi]
• Temporal Mental Health Dynamics on Social MediaTom Tabak, Matthew Purver. [doi]
• Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from WeiboYong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao. [doi]
• COVID-19: A Semantic-Based Pipeline for Recommending Biomedical EntitiesMárcia Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, Francisco M. Couto. [doi]
• Public Sentiment on Governmental COVID-19 Measures in Dutch Social MediaShihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani. [doi]
• Detecting Emerging Symptoms of COVID-19 using Context-based Twitter EmbeddingsRoshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle Ungar, Sharath Chandra Guntuku. [doi]
• Concept Wikification for COVID-19Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min. [doi]
• TICO-19: the Translation Initiative for COvid-19Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur. [doi]
• Expressive Interviewing: A Conversational System for Coping with COVID-19Charles Welch, Allison Lahnala, Verónica Pérez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James W. Pennebaker, Rada Mihalcea. [doi]
• A Multilingual Neural Machine Translation Model for Biomedical DataAlexandre Bérard, Zae Myung Kim, Vassilina Nikoulina, Eunjeong Lucy Park, Matthias Gallé. [doi]