SapienzaNLP/extend

Entity Disambiguation as text extraction (ACL 2022)

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Emerging

This project helps pinpoint the exact real-world entity (like a person, place, or organization) that a word or phrase in a document refers to, especially when the name could mean several things. You provide text with ambiguous terms, and it clarifies which specific entry in a knowledge base (like Wikipedia) each term links to. It's designed for anyone working with large text corpora who needs to accurately identify and link named entities to structured data.

182 stars. No commits in the last 6 months.

Use this if you need to precisely identify specific entities mentioned in text and link them to a comprehensive knowledge base.

Not ideal if your main goal is simple keyword matching or if you don't require linking mentions to a structured knowledge base.

natural-language-understanding text-analytics information-extraction knowledge-graph-population semantic-search
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

182

Forks

13

Language

Python

License

Last pushed

Apr 17, 2022

Commits (30d)

0

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