EACL 2021 Workshop – The 12th International Workshop on Health Text Mining and Information Analysis (LOUHI 2021)
https://louhi2021.fbk.eu/

Location: EACL 2021, (April 19, 2021)

** Background **

The 12th International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents. Health documents encompass textual content of electronic health records, clinical guidelines, spontaneous reports for pharmacovigilance, biomedical literature, health forums/blogs or any other type of health-related documents.
The LOUHI workshop series fosters interactions between the Computational Linguistics, Medical Informatics and Artificial Intelligence communities. It started in 2008 in Turku, Finland and has been organized 8 times: LOUHI 2010 was co-located with NAACL in Los Angeles, CA; LOUHI 2011 was co-located with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia; LOUHI 2013 was held in Sydney, Australia during NICTA Techfest; LOUHI 2014 was co-located with EACL in Gothenburg, Sweden; LOUHI 2015 was co-located with EMNLP in Lisbon, Portugal; LOUHI 2016 was co-located with EMNLP in Austin, Texas; LOUHI 2017 was held in Sydney, Australia; LOUHI 2018 was co-located with EMNLP in Brussels, Belgium; LOUHI 2019 was co-located with EMNLP-IJCNLP in Hong Kong; and LOUHI 2020 was co-located with EMNLP.

** Invited Speaker **

Karin Verspoor, RMIT University (Australia)
Title: Knowledge flows in COVID-19 and the role of NLP

Abstract: The need for a global knowledge ecosystem supporting rapid learning from clinical practice has become more apparent than ever during the COVID-19 pandemic. In this talk, I will examine the knowledge ecosystem of COVID-19, and will specifically consider the role of natural language processing in supporting dissemination of information and for informing public health response. I will review some of the key work presented in the NLP for COVID-19 workshops organised at ACL2020 and EMNLP2020, and introduce my team’s work on supporting COVID-19 information finding in the COVID-SEE tool.

** Program **

April 19, 2021 (CEST time)

9:30-11:00 Session 1

9:30 Introduction
9:45 Fast and Effective Biomedical Entity Linking Using a Dual Encoder
Rajarshi Bhowmik, Karl Stratos and Gerard de Melo
10:05 Integrating Higher-Level Semantics into Robust Biomedical Name Representations
Pieter Fivez, Simon Suster and Walter Daelemans
10:25 FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous Entities
Anne Dirkson, Suzan Verberne and Wessel Kraaij.
10:40 Multilingual Negation Scope Resolution for Clinical Text
Mareike Hartmann and Anders Søgaard

11:00-11:30 Break

11:30-12:30 Keynote
11:30 Invited Talk – Knowledge flows in COVID-19 and the role of NLP
Karin Verspoor, RMIT University (Australia)

12:30-15:00 Lunch Break

15:00-16:00 Session 2

15:00 Classification of mental illnesses on social media using RoBERTa
Ankit Murarka, Balaji Radhakrishnan and Sushma Ravichandran
15:20 Cluster analysis of online mental health discourse using topic-infused deep contextualized representations
Atharva Kulkarni, Amey Hengle, Pradnya Kulkarni and Manisha Marathe
15:40 Topic Modeling for Maternal Health Using Reddit
Shuang Gao, Shivani Pandya, Smisha Agarwal and João Sedoc

16:00-16:15 Break

16:15-17:30 Session 3

16:15 Scientific Claim Verification with VerT5erini
Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira and Jimmy Lin
16:35 Understanding Social Support Expressed in a COVID-19 Online Forum
Anietie Andy, Brian Chu, Ramie Fathy, Barrington Bennett, Daniel Stokes and Sharath Chandra Guntuku
16:55 ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic
Hamdy Mubarak and Sabit Hassan
17:10 Leveraging knowledge sources for detecting self-reports of particular health issues on social media
Parsa Bagherzadeh and Sabine Bergler

17:30 Conclusions