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

Davy Weissenbacher davy.weissenbacher at gmail.com
Thu Apr 7 20:23:25 CEST 2022

============================= First call for *papers*, submission deadline is August 15, 2022 First call for *shared task* participation, evaluation period starts July 11, 2022 ============================= *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 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invites 4-page paper (unlimited references in standard COLING format) submissions on original, unpublished research in all aspects at the intersection of social media mining and health.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


- Deriving health-related trends from social media

- Information retrieval methods for obtaining relevant social media


- Geographic or demographic data inference from social media


- 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


*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


- Task 9 – Classification of Reddit posts self-reporting exact age (in


- Task 10 – Detection of disease mentions in tweets – SocialDisNER (in


*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) -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 5507 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220407/b1fea127/attachment.txt>

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