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2022 COLING COLING 2022

Transformer-based classification of premise in tweets related to COVID-19

Abstract

AbstractAutomation of social network data assessment is one of the classic challenges of natural language processing. During the COVID-19 pandemic, mining people’s stances from their public messages become crucial regarding the understanding of attitude towards health orders. In this paper, authors propose the transformer-based predictive model allowing to effectively classify presence of stance and premise in the Twitter texts.

🐣 Hot Topic Early Bird - stance detection

Authors

Vadim Porvatov, Natalia Semenova

Topics

Machine Learning > Core Methods > Classification Deep Learning > Architectures > Transformers

Keywords

text classification stance detection transformer model premise detection

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