jplu/ADEL

ADEL is a robust and efficient entity linking framework that is adaptive to text genres and language, entity types for the classification task and referent knowledge base for the linking task.

30
/ 100
Emerging

This framework helps you automatically identify and categorize key entities like people, locations, or dates within text, even across different languages and writing styles. You input raw text (like social media posts, articles, or documents), and it outputs a structured list of identified entities with their types and positions. This is for data analysts, researchers, or anyone needing to extract specific information from large volumes of unstructured text.

No commits in the last 6 months.

Use this if you need to reliably extract specific types of information (like names, places, or organizations) from diverse text sources and link them to known knowledge bases.

Not ideal if you're looking for a simple, out-of-the-box desktop application, as this requires some technical setup and configuration.

text-analysis information-extraction natural-language-processing data-mining content-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

19

Forks

2

Language

Java

License

Apache-2.0

Last pushed

Jan 08, 2020

Commits (30d)

0

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