34.1495, Calls: 8th Social Media Mining for Health Applications Workshop and Shared Task

Sat May 13 04:05:04 UTC 2023

LINGUIST List: Vol-34-1495. Sat May 13 2023. ISSN: 1069 - 4875.

Subject: 34.1495, Calls: 8th Social Media Mining for Health Applications Workshop and Shared Task

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Date: 13-May-2023
From: Ari Klein [ariklein at pennmedicine.upenn.edu]
Subject: 8th Social Media Mining for Health Applications Workshop and Shared Task

Full Title: 8th Social Media Mining for Health Applications Workshop
and Shared Task
Short Title: #SMM4H 2023

Date: 11-Nov-2023 - 12-Nov-2023
Location: TBA, USA
Contact Person: Ari Klein
Meeting Email: ariklein at pennmedicine.upenn.edu
Web Site: https://healthlanguageprocessing.org/smm4h-2023/

Linguistic Field(s): Computational Linguistics

Call Deadline: 11-Aug-2023

Meeting Description:

The Social Media Mining for Health Applications (#SMM4H) Workshop and
Shared Task 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) for health informatics.

Call for Papers:

WORKSHOP
The #SMM4H Workshop invites the submission of papers on original,
completed, and unpublished research in all aspects at the intersection
of social media mining and health. Please see the website for
additional information.

Important Dates (Tentative)
- Submission deadline: August 11, 2023
- Notification of acceptance: September 15, 2023
- Camera-ready papers due: September 29, 2023
- Workshop: November 11 or 12, 2023 (TBA)

SHARED TASKS
The #SMM4H Shared Tasks address natural language processing (NLP)
challenges of using social media data for health informatics,
including informal, colloquial expressions, misspellings, noise, data
sparsity, ambiguity, and multilingual posts. For each of the 5 tasks
below, teams will be provided with annotated training and validation
data to develop their systems, followed by 5 days during which they
will run their systems on unlabeled test data and upload their
predictions to CodaLab. Additional details and the CodaLab site for
each task can be found on the website. Please use this form to
register: https://forms.gle/2rd2UHuk97jEKjZ79.

- Task 1: Binary classification of English tweets self-reporting a
COVID-19 diagnosis
- Task 2: Multi-class classification of sentiment associated with
therapies in English tweets
- Task 3: Extraction of COVID-19 symptoms in Latin American Spanish
tweets
- Task 4: Binary classification of English Reddit posts self-reporting
a social anxiety disorder diagnosis
- Task 5: Normalization of adverse drug events in English tweets

Important Dates (Tentative)
- Training and validation data available: April 24, 2023
- System predictions for validation data due: June 30, 2023
- Test data available: July 10, 2023
- System predictions for test data due: July 14, 2023
- Submission deadline for system description papers: August 11, 2023
- Notification of acceptance: September 15, 2023
- Camera-ready papers due: September 29, 2023
- Workshop: November 11 or 12, 2023 (TBA)

ORGANIZING COMMITTEE
Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA
Ari Z. Klein, University of Pennsylvania, USA
Abeed Sarker, Emory University, USA
Yuting Guo, Emory University, USA
Juan M. Banda, Georgia State University, USA
Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland
Lucia Schmidt, Roche Pharmaceuticals, Switzerland
Dongfang Xu, Cedars-Sinai Medical Center, USA
Ivan Flores, Cedars-Sinai Medical Center, USA

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