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2023 SemEval SemEval 2023

Arizonans at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis with XLM-T

Abstract

AbstractThis paper presents the systems and approaches of the Arizonans team for the SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. We finetune the Multilingual RoBERTa model trained with about 200M tweets, XLM-T. Our final model ranked 9th out of 45 overall, 13th in seen languages, and 8th in unseen languages.

Authors

Nimet Beyza Bozdag, Tugay Bilgis, Steven Bethard

Topics

Artificial Intelligence > Learning Paradigms > Transfer Learning Machine Learning > Core Methods > Classification Deep Learning > Architectures > Transformers

Keywords

sentiment analysis multilingual transformer tweet intimacy detection
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