yuhaozhang/tacred-relation
PyTorch implementation of the position-aware attention model for relation extraction
This helps natural language processing engineers build models that can automatically identify relationships between entities mentioned in text. You feed it raw text data, and it helps you train a system to output specific relationships (e.g., 'person A works for company B', 'product X is manufactured by company Y'). It's ideal for NLP specialists or data scientists working with unstructured text.
361 stars. No commits in the last 6 months.
Use this if you need to extract structured relationship information from large volumes of unstructured text, such as articles, reports, or social media posts.
Not ideal if you are looking for an out-of-the-box solution without programming or if your task involves simple keyword extraction rather than complex relationship understanding.
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Python
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Last pushed
Apr 24, 2024
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