Presentation Schedule | NLP COVID-19 Workshop @EMNLP2020
Schedule
The NLP for COVID-19 workshop @EMNLP2020 will be held on Friday, November 20, 2020. All times on this page are reported in UK/London time.
There will be two main sessions, the first running from 08:00am until 11:30am UK/London time, and the second running from 04:00pm until 09:00pm UK/London time.
All talks will be pre-recorded (10 minutes for short papers, 15 minutes for long papers); 5 additional minutes for live Q&A are allowed for each presentation below. The poster sessions will be held in gather.town room, with posters presented as PDFs.
Session 1: COVID-19 Literature Mining and Question Answering (from 08:00am London time )
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08:00 am - 08:10am
Welcome & Introduction
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08:10 am - 08:30 am
Answering Questions on COVID-19 in Real-Time
Jinhyuk Lee, Sean S. Yi, Minbyul Jeong, Mujeen Sung, WonJin Yoon, Yonghwa Choi, Miyoung Ko, and Jaewoo Kang
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08:30 am - 08:45 am
Improved Topic Representations of Medical Documents to Assist COVID-19 Literature Exploration
Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, and Simon Šuster
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08:45 am - 09:05 am
CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles
Zubair Afzal, Vikrant Yadav, Olga Fedorova, Vaishnavi Kandala, Janneke van de Loo, Saber A Akhondi, Pascal Coupet, and George Tsatsaronis
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09:05 am - 09:20 am
A System for Worldwide COVID-19 Information Aggregation
Akiko Aizawa, Frederic Bergeron, 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, and Ying Zhong
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09:20 am - 09:35 am
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management
Dan Su, Yan Xu, Tiezheng Yu, Farhad Bin Siddique, Elham Barezi, and Pascale Fung
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09:35 am - 09:55 am
Frugal neural reranking: evaluation on the Covid-19 literature
Tiago Almeida and Sérgio Matos
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09:55 am - 10:10 am
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature
Arantxa Otegi, Jon Ander Campos, Gorka Azkune, Aitor Soroa, and Eneko Agirre
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10:10 am - 10:25 am
Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures
Lin Miao, Mark Last, and Marina Litvak
Poster Session A (10:30 am - 11:30 am London UK time)
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Annotating the Pandemic: Named Entity Recognition and Normalisation in COVID-19 Literature
Nico Colic, Lenz Furrer, and Fabio Rinaldi
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COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities
Marcia Afonso Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, and Francisco M. Couto
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Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature
Abdullatif Köksal, Hilal Dönmez, Riza Özçelik, Elif Ozkirimli, and Arzucan Özgür
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Identifying pandemic-related stress factors from social-media posts - effects on students and young-adults
Sachin Thukral, Suyash Sangwan, Arnab Chatterjee, and Lipika Dey
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Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo
Yong Hu, Heyan Huang, Anfan Chen, and Xian-Ling Mao
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Tracking And Understanding Public Reaction During COVID-19: Saudi Arabia As A Use Case
Aseel Addawood, Alhanouf Alsuwailem, Ali Alohali, Dalal Alajaji, Mashail Alturki, Jaida Alsuhaibani, and Fawziah Aljabli
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Using the Poly-encoder for a COVID-19 Question Answering System
Seolhwa Lee and João Sedoc
Session 2: Machine Translation & Social Media (from 04:00pm)
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04:00 pm - 04:15 pm
A Multilingual Neural Machine Translation Model for Biomedical Data
Alexandre Bérard, Zae Myung Kim, Vassilina Nikoulina, Eunjeong Lucy Park, and Matthias Gallé
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04:15 pm - 04:35 pm
TICO-19: the Translation Initiative for COvid-19
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Franscisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, Will Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, and Sylwia Tur
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04:35 pm - 04:55 pm
COVID-19 Literature Topic-Based Search via Hierarchical NMF
Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, and Deanna Needell
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04:55 pm - 05:15 pm
Expressive Interviewing: A Conversational System for Coping with COVID-19
Charles Welch, Allison Lahnala, Veronica Perez-Rosas, Siqi Shen, Sarah Seraj, Larry An, Kenneth Resnicow, James Pennebaker, and Rada Mihalcea
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05:15 pm - 05:30 pm
Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media
Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, and Mehdi Dastani
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05:30 pm - 05:50 pm
Temporal Mental Health Dynamics on Social Media
Tom Tabak and Matthew Purver
Poster Session B (05:50 pm - 6:50 pm London/UK time)
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Knowledge Discovery in COVID-19 Research Literature
Alejandro Piad-Morffis, Suilan Estevez-Velarde, Ernesto Luis Estevanell-Valladares, Yoan Gutiérrez, Andrés Montoyo, Rafael Muñoz, and Yudivián Almeida-Cruz
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AskMe: A LAPPS Grid-based NLP Query and Retrieval System for Covid-19 Literature
Keith Suderman, Nancy Ide, Verhagen Marc, Brent Cochran, and James Pustejovsky
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Concept Wikification for COVID-19
Panagiotis Lymperopoulos, Haoling Qiu and Bonan Min
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Developing a Curated Topic Model for COVID-19 Medical Research Literature
Philip Resnik, Katherine E. Goodman, and Mike Moran
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Collecting Verified COVID-19 Question Answer Pairs
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, and João Sedoc
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A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2
Robert Leaman and Zhiyong Lu
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Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings
Roshan Santosh, H. Schwartz, Johannes Eichstaedt, Lyle Ungar, and Sharath Chandra Guntuku
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Characterizing drug mentions in COVID-19 Twitter Chatter
Ramya Tekumalla and Juan M Banda
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Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research
David Hardage and Peyman Najafirad
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Real-time classification, geolocation and interactive visualization of COVID-19 information shared on social media to better understand global developments
Andrei Mircea
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Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP
Pedram Hosseini, Poorya Hosseini and David Broniatowski
Session 3: Social Media (cont'd) (from 07:00 pm London UK time)
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7:00 pm - 7:20 pm
COVID-19 Surveillance through Twitter using Self-Supervised Learning and Few Shot Learning
Brandon Lwowski and Peyman Najafirad
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7:20 pm - 7:40 pm
Quantifying the Effects of COVID-19 on Mental Health Support Forums
Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, and Rada Mihalcea
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7:40 pm - 7:55 pm
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes
Hyeju Jang, Emily Rempel, Giuseppe Carenini, and Naveed Janjua
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7:55 pm - 08:15 pm
Explaining the "Trump Gap" in Social Distancing Using COVID Discourse
Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, and Johannes Eichstaedt
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08:15 pm - 08:35 pm
COVIDLies: Detecting COVID-19 Misinformation on Social Media
Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, and Sameer Singh
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08:35 pm - 09:00 pm
Discussion & Wrapup