arXiv 2210.011082023-02-03cs.CLcs.CYcs.LG

SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis

University of Michigan（密歇根大学）；Snap Inc（Snap公司）

Jiaxin Pei, Vítor Silva, Maarten Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri

备注：: SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis

英文摘要：

We propose MINT, a new Multilingual INTimacy analysis dataset covering 13,372 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic. We benchmarked a list of popular multilingual pre-trained language models. The dataset is released along with the SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis (https://sites.google.com/umich.edu/semeval-2023-tweet-intimacy).

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。