Knowledge Extraction Models for Medical Social Media

Student: Semenova Olga

Supervisor: Irina Efimenko

Educational Programme: Computational Linguistics (Master)

Year of Graduation: 2021

The study focuses on the development of an algorithm for extracting drug intake events from texts of medical social media. The paper contains review of the relevant studies on the extraction of events from medical texts. As part of the study, the corpus was collected and marked up, experiments were carried out to improve the quality of the models for extracting event triggers and attributes, the final algorithm was developed, and the quality of its performance was evaluated. The developed algorithm can be used for pharmacovigilance purposes. It is also possible to use the collected data in further research on a similar topic.

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