autoliuweijie/K-BERT

Source code of K-BERT (AAAI2020)

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This project helps people who need to classify text or identify specific entities within text, especially when dealing with domain-specific language. It takes raw text inputs, along with a chosen knowledge graph, and outputs either a classification label (e.g., sentiment, topic) or a list of recognized entities (e.g., names, locations). This is ideal for natural language processing engineers or data scientists working on text understanding tasks.

984 stars. No commits in the last 6 months.

Use this if you need to improve the accuracy of text classification or named entity recognition by incorporating external knowledge into your language models.

Not ideal if you are looking for a plug-and-play solution without any technical setup, as this project requires programming knowledge and data preparation.

natural-language-processing text-classification named-entity-recognition knowledge-graphs text-analytics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

984

Forks

216

Language

Python

License

Last pushed

Jan 27, 2023

Commits (30d)

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