MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages · HackerPapers discussions

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages — mentioned by jgmf

Wed, 20 Apr 2022 20:44:00 GMT

Sorry, we didn't have enough space to fit it on the blog post. You can find the list of languages on page 4 of our paper: https://arxiv.org/pdf/2204.08582.pdf I'll add this to our github repo, too. Thanks!

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MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages — mentioned by cperiz

Wed, 20 Apr 2022 15:59:40 GMT

The paper provides baseline results on how some pre-trained open source models will perform, when fine-tuned on this dataset. https://arxiv.org/abs/2204.08582

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MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages — mentioned by mmastrac

Wed, 20 Apr 2022 14:55:29 GMT

The paper [1] has an interesting discussion of european famliar/formal pronous: Many languages encode different levels of polite- ness through their use of pronouns. Many European languages distinguish between “familiar” and “for- mal” pronouns, with the “formal” pronouns often morphologically identical to a plural. In French, the second-person singular “tu” is used between friends, while the second-person plural “vous” is used when speaking to a group, or to an individual of higher social rank (such as an employee to a manager). These politeness systems are very heav- ily influenced by…

Paper and discussion history. A mention is not an endorsement.