izuna385/Entity-Linking-Recent-Trends

Recent trends of Entity Linking, Disambiguation, and Representation.

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Emerging

This project compiles and organizes recent research papers on 'Entity Linking,' which is the process of connecting mentions of things (like people, places, or organizations) in text to entries in a knowledge base (like Wikipedia or a medical ontology). It helps natural language processing practitioners stay updated on techniques for accurately identifying and disambiguating entities within their text data, and for preparing effective entity representations. The target audience includes researchers and developers working on information extraction, text analysis, and knowledge graph construction.

346 stars. No commits in the last 6 months.

Use this if you need to understand the latest advancements and common approaches in identifying and linking named entities within unstructured text.

Not ideal if you are looking for an off-the-shelf software library or tool to immediately implement entity linking.

natural-language-processing information-extraction knowledge-graphs text-analytics data-disambiguation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 12 / 25

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Jun 26, 2021

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