alipay/TDEER
Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP 2021)
This project helps natural language processing researchers extract key information from text. It takes raw text data as input and efficiently identifies both entities (like people, organizations, or locations) and the relationships between them (e.g., 'works for', 'located in'). This is designed for NLP practitioners or data scientists working on information extraction tasks.
No commits in the last 6 months.
Use this if you need to extract structured factual triples (subject, relation, object) from unstructured text, especially when dealing with complex sentences where entities and their relationships might overlap.
Not ideal if you're a business user looking for a ready-to-use application, as this requires technical expertise in machine learning model training and deployment.
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9
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14
Language
Python
License
MIT
Category
Last pushed
Dec 08, 2021
Commits (30d)
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