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Autor:
Pei, Jiaxin, Silva, Vítor, Bos, Maarten, Liu, Yozon, Neves, Leonardo, Jurgens, David, Barbieri, Francesco
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
Externí odkaz:
http://arxiv.org/abs/2210.01108