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ORCID1st Workshop on NLP for COVID-19@EMNLP 2020: Online
- Karin Verspoor, Kevin Bretonnel Cohen, Michael Conway, Berry de Bruijn, Mark Dredze, Rada Mihalcea, Byron C. Wallace:
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020. Association for Computational Linguistics 2020 - Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, Wonjin Yoon, Yonghwa Choi, Miyoung Ko, Jaewoo Kang:
Answering Questions on COVID-19 in Real-Time. - Zubair Afzal
, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A. Akhondi, Pascal Coupet, George Tsatsaronis:
CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles. - Tiago Almeida, Sérgio Matos:
Frugal neural reranking: evaluation on the Covid-19 literature. - Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell:
COVID-19 Literature Topic-Based Search via Hierarchical NMF. - Antonios 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:
TICO-19: the Translation Initiative for COvid-19. - Charles Welch, Allison Lahnala, Verónica Pérez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James W. Pennebaker, Rada Mihalcea:
Expressive Interviewing: A Conversational System for Coping with COVID-19. - Tom Tabak, Matthew Purver:
Temporal Mental Health Dynamics on Social Media. - Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea:
Quantifying the Effects of COVID-19 on Mental Health Support Forums. - Brandon Lwowski, Peyman Najafirad:
COVID-19 Surveillance through Twitter using Self-Supervised and Few Shot Learning. - Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K. Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes C. Eichstaedt:
Explaining the Trump Gap in Social Distancing Using COVID Discourse. - Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, Sameer Singh:
COVIDLies: Detecting COVID-19 Misinformation on Social Media. - Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, Simon Suster:
Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration. - Akiko 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:
A System for Worldwide COVID-19 Information Aggregation. - Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham J. Barezi, Pascale Fung:
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management. - Arantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, Eneko Agirre:
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature. - Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina, Eunjeong Lucy Park, Matthias Gallé:
A Multilingual Neural Machine Translation Model for Biomedical Data. - Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani:
Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media. - Hyeju Jang, Emily Rempel, Giuseppe Carenini, Naveed Z. Janjua:
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes. - Lin Miao, Mark Last, Marina Litvak:
Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures. - Márcia Barros, Andre Lamurias, Diana F. Sousa, Pedro Ruas, Francisco M. Couto:
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities. - Abdullatif Köksal, Hilal Dönmez, Riza Özçelik, Elif Ozkirimli, Arzucan Özgür:
Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature. - Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, Yudivián Almeida-Cruz:
Knowledge Discovery in COVID-19 Research Literature. - Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, Lipika Dey:
Identifying pandemic-related stress factors from social-media posts - Effects on students and young-adults. - Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, Dalal Alajaji, Mashail Alturki, Jaida Alsuhaibani, Fawziah Aljabli:
Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case. - Ramya Tekumalla, Juan M. Banda:
Characterizing drug mentions in COVID-19 Twitter Chatter. - Pedram Hosseini, Poorya Hosseini, David A. Broniatowski:
Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP. - Nico Colic, Lenz Furrer, Fabio Rinaldi:
Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature. - Keith Suderman, Nancy Ide, Marc Verhagen, Brent Cochran, James Pustejovsky:
AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature. - Panagiotis Lymperopoulos, Haoling Qiu, Bonan Min:
Concept Wikification for COVID-19. - Philip Resnik, Katherine E. Goodman, Mike Moran:
Developing a Curated Topic Model for COVID-19 Medical Research Literature. - 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:
Collecting Verified COVID-19 Question Answer Pairs. - Robert Leaman, Zhiyong Lu:
A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2. - Seolhwa Lee, João Sedoc:
Using the Poly-encoder for a COVID-19 Question Answering System. - Yong Hu, Heyan Huang, Anfan Chen, Xian-Ling Mao:
Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo. - Roshan Santosh, H. Andrew Schwartz, Johannes C. Eichstaedt, Lyle H. Ungar, Sharath Chandra Guntuku:
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings. - David Hardage, Peyman Najafirad:
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research. - Andrei Mircea:
Real-time Classification, Geolocation and Interactive Visualization of COVID-19 Information Shared on Social Media to Better Understand Global Developments.
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