dumitrescustefan/roner
Named Entity Recognition for Romanian, based on transformer models
RoNER helps you automatically identify and categorize specific entities like names of people, places, or organizations within Romanian text. You provide raw Romanian text, and it outputs a structured list detailing each identified entity and its type. This is useful for anyone working with large volumes of Romanian text data, such as researchers, linguists, or data analysts.
No commits in the last 6 months. Available on PyPI.
Use this if you need to extract structured information from unstructured Romanian text, like identifying all person names in a collection of news articles or all locations mentioned in documents.
Not ideal if you need a NER tool for languages other than Romanian, or if your primary goal is to compare the performance of different NER models.
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Language
Python
License
MIT
Category
Last pushed
Jan 29, 2022
Commits (30d)
0
Dependencies
4
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