arXiv:2204.08582cs.CL
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
Abstract
We present the MASSIVE dataset--Multilingual Amazon Slu resource package (SLURP) for Slot-filling, Intent classification, and Virtual assistant Evaluation. MASSIVE contains 1M realistic, parallel, labeled virtual assistant utterances spanning 51 languages, 18 domains, 60 intents, and 55 slots. MASSIVE was created by tasking professional translators to localize the English-only SLURP dataset into 50 typologically diverse languages from 29 genera. We also present modeling results on XLM-R and mT5, including exact match accuracy, intent classification accuracy, and slot-filling F1 score. We have released our dataset, modeling code, and models publicly.
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…
mmastracView on HNParent context
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
cperizView on HNParent context
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!
jgmfView on HNParent context