Connectionists: CFP: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022

[Davy Weissenbacher]

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Second call for shared task participation, evaluation period starts July
11, 2022
Second call for papers, submission deadline is August 15, 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
Important links:
Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/
Submission link: TBA

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

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)

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


Organizing Committee
    Graciela Gonzalez-Hernandez, University of Pennsylvania, USA
    Davy Weissenbacher, University of Pennsylvania, USA
    Arjun Magge, University of Pennsylvania, USA
    Ari Z. Klein, University of Pennsylvania, USA
    Ivan Flores, University of Pennsylvania, 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

Contact
All questions should be emailed to Davy Weissenbacher (
dweissen at pennmedicine.upenn.edu)
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