Data and models for stance and premise detection in COVID-19 tweets: Insights from the Social Media Mining for Health (SMM4H) 2022 shared task

Author:

Davydova VeraORCID,Yang Huabin,Tutubalina ElenaORCID

Funder

Russian Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference35 articles.

1. Stance detection: A survey;Küçük;ACM Comput. Surv.,2020

2. Will COVID-19 vaccine mandates affect attitudes toward the vaccine and participation in mandate-affected activities? Evidence from the united states;Kreps;Vaccine,2022

3. SMM4H 2022 task 2: Dataset for stance and premise detection in tweets about health mandates related to COVID-19;Davydova,2022

4. Overview of the seventh social media mining for health applications (#SMM4H) shared tasks at COLING 2022;Weissenbacher,2022

5. Multimodal model with text and drug embeddings for adverse drug reaction classification;Sakhovskiy;J. Biomed. Inform.,2022

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