hscspring/Multi-Label-Text-Classification-for-Chinese
pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.
This tool helps legal professionals and researchers automatically categorize Chinese legal documents. You input raw Chinese legal case descriptions, and it outputs one or more relevant legal accusations. This is especially useful for anyone dealing with large volumes of Chinese legal texts who needs to identify specific legal categories.
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Use this if you need to automatically assign multiple legal categories to Chinese court case descriptions, especially when dealing with data from sources like the Chinese AI & Law Challenge.
Not ideal if your text classification needs are for languages other than Chinese or if you're not working with legal or highly structured domain-specific texts.
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79
Forks
24
Language
Python
License
MIT
Last pushed
Dec 01, 2019
Commits (30d)
0
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