princeton-nlp/PURE
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
This tool helps people who need to automatically find and classify key terms (entities) and the relationships between them within large amounts of text. You input raw text documents, and it outputs a structured list of identified entities (like names, locations, or scientific terms) and the specific connections between them. This is ideal for researchers, analysts, or anyone working with text-heavy data who needs to extract structured information.
811 stars. No commits in the last 6 months.
Use this if you need to automatically identify specific entities and the relationships between them from text, especially in scientific papers or news articles.
Not ideal if you're looking for a tool to summarize documents, translate languages, or perform general text classification without a focus on entity or relation extraction.
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811
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Language
Python
License
MIT
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Last pushed
Jul 07, 2022
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