DFKI-NLP/TRE
[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations
This project helps natural language processing researchers or practitioners analyze text to identify specific relationships between entities mentioned in sentences. It takes raw text data, processes it, and outputs structured information about the connections between different elements in the text. For example, it can extract that "Apple Inc. developed the iPhone."
106 stars. No commits in the last 6 months.
Use this if you need to automatically extract facts or relationships from large volumes of unstructured text, such as identifying who developed what, or the relationship between two companies.
Not ideal if you are looking for a ready-to-use, no-code solution for general text analysis or if your data is not in English.
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106
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12
Language
Python
License
MIT
Category
Last pushed
Oct 01, 2021
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