32.265, Calls: Applied Ling, Clinical Ling/Mexico and Online

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LINGUIST List: Vol-32-265. Wed Jan 20 2021. ISSN: 1069 - 4875.

Subject: 32.265, Calls: Applied Ling, Clinical Ling/Mexico and Online

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Date: Wed, 20 Jan 2021 13:38:26
From: Arjun Magge [Arjun.Magge at pennmedicine.upenn.edu]
Subject: 6th Social Media Mining for Health Workshop at NAACL 2021

 
Full Title: 6th Social Media Mining for Health Workshop at NAACL 2021 
Short Title: SMM4H-2021 

Date: 10-Jun-2021 - 10-Jun-2021
Location: Mexico City and Online, Mexico 
Contact Person: Arjun Magge
Meeting Email: Arjun.Magge at pennmedicine.upenn.edu
Web Site: https://healthlanguageprocessing.org/smm4h-2021/ 

Linguistic Field(s): Applied Linguistics; Clinical Linguistics 

Call Deadline: 15-Mar-2021 

Meeting Description:

The Social Media Mining for Health Applications (#SMM4H) workshop serves as a
venue for bringing together researchers interested in automatic methods for
the collection, extraction, representation, analysis, and validation of social
media data (e.g., Twitter, Facebook) for health informatics. The 6th #SMM4H
Workshop, co-located at NAACL 2021 (https://2021.naacl.org/), invites the
submission of papers on original, unpublished research in all aspects at the
intersection of social media mining and health. Topics of interest include,
but are not limited to:
 - Methods for the automatic detection and extraction of health-related
concept mentions in social media
 - Mapping of health-related mentions in social media to standardized
vocabularies
 - Deriving health-related trends from social media
 - Information retrieval methods for obtaining relevant social media data
 - Geographic or demographic data inference from social media discourse
 - Virus spread monitoring using social media
 - Mining health-related discussions in social media
 - Drug abuse and alcoholism incidence monitoring through social media
 - Disease incidence studies using social media
 - Sentinel event detection using social media
 - Semantic methods in social media analysis
 - Classifying health-related messages in social media
 - Automatic analysis of social media messages for disease surveillance and
patient education
 - Methods for validation of social media-derived hypotheses and datasets


Call for Papers: 

Paper Submission and Presentation Information:
Paper submissions may consist of up to 4 pages, plus unlimited references, and
must describe completed, original, and unpublished work. Papers may make
small, focused contributions, but the work must be completed; we will not
accept papers describing work-in-progress. We also will not accept papers that
overlap significantly with papers that have been or will be published
elsewhere, or are currently under consideration for other venues. All accepted
papers are required to be presented orally or as a poster, as determined by
the program committee, in order to be included in the workshop proceedings. At
least one author of each accepted paper must register for #SMM4H 2021 to
present. All paper submissions must follow the NAACL-HLT 2021 guidelines
(https://2021.naacl.org/calls/style-and-formatting/) and be submitted as a PDF
using the Softconf START Conference Manager
(https://www.softconf.com/naacl2021/smm4h2021/).

Shared Tasks:
The workshop organizers this year are hosting eight shared tasks i.e. NLP
challenges as part of the workshop. Participating teams will be provided with
a set of annotated tweets for developing systems, followed by a three-day
window during which they will run their systems on unlabeled test data and
upload it to Codalab for evaluation. For additional details about the tasks
and information about registration, data access, paper submissions, and
presentations, go to
https://healthlanguageprocessing.org/smm4h-shared-task-2021/

Important Dates:
Workshop papers due : Mar 15
Acceptance notification : Apr 1 
Camera ready paper : Apr 12 
* All deadlines are 11:59 PM UTC (“anywhere on Earth”).

Organizers:
Graciela Gonzalez-Hernandez, University of Pennsylvania, USA
Arjun Magge, University of Pennsylvania, USA
Davy Weissenbacher, University of Pennsylvania, USA
Ari Z. Klein, University of Pennsylvania, USA
Karen O’Connor, University of Pennsylvania, USA
Abeed Sarker, Emory University, USA
Mohammed Ali Al-Garadi, Emory University, USA
Elena Tutubalina, Kazan Federal University, Russia
Zulfat Miftahutdinov, Kazan Federal University, Russia
Ilsear Alimova, Kazan Federal University, Russia
Martin Krallinger, Barcelona Supercomputing Center, Spain
Juan Banda, Georgia State University, USA

Contact Information:
Arjun Magge(Arjun.Magge at pennmedicine.upenn.edu)




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