#SMM4H 2024 Shared Task Registration Form

JavaScript isn't enabled in your browser, so this file can't be opened. Enable and reload.

In order to participate in the Social Media Mining for Health Applications (#SMM4H) 2024 Shared Tasks, each team must have a team leader that (1) holds a primary appointment at an academic institution or in industry, and (2) has agreed to oversee the submission of the team’s system predictions and system description paper.

When your registration is approved, you will be invited to a Google group, where the data sets will be made available. You will also be provided with a link to the CodaLab competition, where you will submit your system predictions for evaluation. Please register here with the same email address used for your CodaLab account.

Please see the website for additional information about the tasks and important dates:

https://healthlanguageprocessing.org/smm4h-2024/.

Full Name *

Email Address *

Affiliation *

Country of Residence *

Advisor/Supervisor *

Advisor's/Supervisor's Email Address (will be cc'ed in communications) *

Team Name *

Additional Team Members (Full Name and Email Address)

Example: John Doe, jdoe@university.edu (one team member per line)

Please select the task(s) for which you will submit system predictions and a system description paper. *

Task 1 - Extraction and normalization of adverse drug events (ADEs) in English tweets

Task 2 - Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese

Task 3 - Multi-class classification of effects of outdoor spaces on social anxiety symptoms in Reddit

Task 4 - Extraction of the clinical and social impacts of nonmedical substance use from Reddit

Task 5 - Binary classification of English tweets reporting children’s medical disorders

Task 6 - Self-reported exact age classification with cross-platform evaluation in English

Task 7 - Identification of LLM or human domain-expert data annotations in the context of health-related applications

Required

Please review and accept the following conditions. *

I agree not to redistribute the data without written permission from the task organizer.

I agree to run my system on the test data and upload at least one set of predictions to CodaLab.

I agree to submit a system description paper.

Required

Submit

Clear form

Never submit passwords through Google Forms.

This content is neither created nor endorsed by Google. Report Abuse - Terms of Service - Privacy Policy

Forms