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Found 4 papers, 0 papers with code
Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019
We present the Social Media Mining for Health Shared Tasks collocated with the ACL at Florence in 2019, which address these challenges for health monitoring and surveillance, utilizing state of the art techniques for processing noisy, real-world, and substantially creative language expressions from social media users.
SemEval-2019 Task 12: Toponym Resolution in Scientific Papers
We also analyze the methods, the results and the errors made by the competing systems with a focus on toponym disambiguation.
Dealing with Medication Non-Adherence Expressions in Twitter
Through a semi-automatic analysis of tweets, we show that Twitter users not only express Medication Non-Adherence (MNA) in social media but also their reasons for not complying; further research is necessary to fully extract automatically and analyze this information, in order to facilitate the use of this data in epidemiological studies.
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System
Social media sites (e. g., Twitter) have been used for surveillance of drug safety at the population level, but studies that focus on the effects of medications on specific sets of individuals have had to rely on other sources of data.
