nicola-decao/efficient-autoregressive-EL

Pytorch implementation of Highly Parallel Autoregressive Entity Linking with Discriminative Correction

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This project helps quickly identify and link specific entities in text, like people, places, or organizations, to their correct entries in a knowledge base. You input raw text documents, and it outputs the same text with identified entities hyperlinked to their corresponding Wikipedia pages or knowledge base entries. This is useful for anyone working with large volumes of unstructured text who needs to automatically understand and categorize named entities.

No commits in the last 6 months.

Use this if you need to automatically identify and disambiguate entities within text documents, linking them to a comprehensive knowledge base like Wikipedia.

Not ideal if your primary goal is simple keyword extraction or if you need to link entities to a highly specialized, non-public knowledge base without prior setup.

natural-language-processing information-extraction text-analytics data-enrichment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 15 / 25

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66

Forks

10

Language

Python

License

MIT

Last pushed

May 04, 2022

Commits (30d)

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