Work

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

Year: 2023

Type: conference-paper

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 9 th out of 45 overall, 13 th in seen languages, and 8 th in unseen languages.

Source: International Workshop on Semantic Evaluation (SemEval)

DOI: 10.18653/v1/2023.semeval-1.230

Authors: Nimet Beyza Bozdag, Tugay Bilgis, Steven Bethard

Institution: University of Arizona

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4385570039

FWCI: 0.178

Cites: 7

Cited by: 1

Related to: 10