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2022 COLING COLING 2022

dezzai@SMM4H’22: Tasks 5 & 10 - Hybrid models everywhere

Abstract

AbstractThis paper presents our approaches to SMM4H’22 task 5 - Classification of tweets of self-reported COVID-19 symptoms in Spanish, and task 10 - Detection of disease mentions in tweets – SocialDisNER (in Spanish). We have presented hybrid systems that combine Deep Learning techniques with linguistic rules and medical ontologies, which have allowed us to achieve outstanding results in both tasks.

Authors

Miguel Ortega-Martín, Alfonso Ardoiz, Oscar Garcia, Jorge Álvarez, Adrián Alonso

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Core Methods > Classification Deep Learning > Architectures > Transformers

Keywords

text classification named entity recognition deep learning disease detection hybrid model

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