chnsh/BERT-NER-CoNLL
This repository tries to implement BERT for NER by trying to follow the paper using transformers library
This project helps developers identify and extract specific types of entities (like people, organizations, locations, and miscellaneous entities) from raw text. It takes a body of English text as input and outputs the same text with named entities labeled. A developer working on natural language processing tasks, like building a search engine or content analyzer, would use this.
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Use this if you need a baseline implementation for Named Entity Recognition on English text, especially for replicating results on the CoNLL 2003 dataset.
Not ideal if you need a production-ready NER system for a different language or specialized domain, or if you are not comfortable with Python and PyTorch.
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Python
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MIT
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Last pushed
Jul 25, 2024
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