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

Nimet Beyza Bozdag, Tugay Bilgis, Steven Bethard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents the systems and approaches of the Arizonans team for 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.

Original languageEnglish (US)
Title of host publication17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop
EditorsAtul Kr. Ojha, A. Seza Dogruoz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
PublisherAssociation for Computational Linguistics
Pages1656-1659
Number of pages4
ISBN (Electronic)9781959429999
StatePublished - 2023
Event17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 - Hybrid, Toronto, Canada
Duration: Jul 13 2023Jul 14 2023

Publication series

Name17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop

Conference

Conference17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023
Country/TerritoryCanada
CityHybrid, Toronto
Period7/13/237/14/23

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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