Connectionists: Deadline extension: #SMM4H'22, Social Media Mining for Health Applications - Workshop at COLING 2022

[Davy Weissenbacher]

Due to multiple requests, we are *extending* the deadline to August 20, 2022

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Last call for paper: submission deadline August 20, 2022
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*Apologies if you received multiple copies of this CFP*

Location: Gyeongju, Republic of Korea
Workshop Date: October 16-17, 2022
Workshop link: https://healthlanguageprocessing.org/smm4h-2022/
Submission link: https://www.softconf.com/coling2022/7thSMM4H/

The workshop will include two components — a standard workshop and a shared
task

Workshop
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, Reddit, Facebook) for health informatics.
The 7th #SMM4H Workshop, co-located at COLING 2022 (
https://coling2022.org/index), invites 4-page paper (unlimited references
in standard COLING format) submissions on original, unpublished research in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

Shared task
The workshop organizers this year are hosting 10 shared tasks i.e. NLP
challenges as part of the workshop. Participating teams will be provided
with a set of annotated posts 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-2022/

    Task 1 – Classification, detection, and normalization of Adverse Events
(AE) mentions in tweets (in English)
    Task 2 – Classification of stance and premise in tweets about health
mandates related to COVID-19 (in English)
    Task 3 – Classification of changes in medication treatments in tweets
and WebMD reviews (in English)
    Task 4 – Classification of tweets self-reporting exact age (in English)
    Task 5 – Classification of tweets containing self-reported COVID-19
symptoms (in Spanish)
    Task 6 – Classification of tweets which indicate self-reported COVID-19
vaccination status (in English)
    Task 7 – Classification of self-reported intimate partner violence on
Twitter (in English)
    Task 8 – Classification of self-reported chronic stress on Twitter (in
English)
    Task 9 – Classification of Reddit posts self-reporting exact age (in
English)
    Task 10 – Detection of disease mentions in tweets – SocialDisNER (in
Spanish)

Organizing Committee
    Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA
    Davy Weissenbacher, Cedars-Sinai Medical Center, USA
    Arjun Magge, University of Pennsylvania, USA
    Ari Z. Klein, University of Pennsylvania, USA
    Ivan Flores, Cedars-Sinai Medical Center, USA
    Karen O’Connor, University of Pennsylvania, USA
    Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland
    Lucia Schmidt, Roche Pharmaceuticals, Switzerland
    Juan M. Banda, Georgia State University, USA
    Abeed Sarker, Emory University, USA
    Yuting Guo, Emory University, USA
    Yao Ge, Emory University, USA
    Elena Tutubalina, Insilico Medicine, Hong Kong
    Luis Gasco, Barcelona Supercomputing Center, Spain
    Darryl Estrada, Barcelona Supercomputing Center, Spain
    Martin Krallinger, Barcelona Supercomputing Center, Spain

Program Committee
Cecilia Arighi, University of Delaware, USA
Natalia Grabar, French National Center for Scientific Research, France
Thierry Hamon, Paris-Nord University, France
Antonio Jimeno Yepes, Royal Melbourne Institute of Technology, Australia
Jin-Dong Kim, Database Center for Life Science, Japan
Corrado Lanera, University of Padova, Italy
Robert Leaman, US National Library of Medicine, USA
Kirk Roberts, University of Texas Health Science Center at Houston, USA
Yutaka Sasaki, Toyota Technological Institute, Japan
Pierre Zweigenbaum, French National Center for Scientific Research, France

Contact
All questions should be emailed to Davy Weissenbacher (
davy.weissenbacher at cshs.org)
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