sld/torch-conv-ner

Deep learning for named entity recognition on CoNLL-2003

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Emerging

This project helps you automatically identify and classify key entities like people, organizations, locations, and miscellaneous items within text. You input a text corpus, and it processes this data to output a model capable of recognizing these 'named entities'. This is useful for researchers and practitioners working with natural language processing tasks, particularly those involved in information extraction.

No commits in the last 6 months.

Use this if you need to build a system that can accurately find and categorize specific types of information from large volumes of text data.

Not ideal if you're looking for a ready-to-use application or a solution that doesn't require setting up a deep learning environment.

natural-language-processing information-extraction text-analytics linguistics data-mining
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

10

Forks

4

Language

Lua

License

GPL-3.0

Last pushed

Dec 23, 2016

Commits (30d)

0

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