plkmo/BERT-Relation-Extraction
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
This tool helps you automatically identify and classify relationships between specific entities mentioned in text documents. You input a piece of text, and it outputs the identified entities and the nature of the relationship connecting them, such as "Cause-Effect." This is ideal for natural language processing specialists, researchers, or data analysts who need to extract structured information from unstructured text.
604 stars. No commits in the last 6 months.
Use this if you need to understand the underlying connections between concepts or entities in large volumes of text, such as determining if one event causes another or if a drug treats a disease.
Not ideal if you're looking for a simple keyword search tool or don't need to categorize the specific type of relationship between identified entities.
Stars
604
Forks
134
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 24, 2023
Commits (30d)
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