ZhixiuYe/Intra-Bag-and-Inter-Bag-Attentions
Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
This project helps researchers and data scientists automatically identify relationships between entities in large text datasets, even when those relationships are not explicitly labeled. It takes raw text documents (like news articles or scientific papers) as input and outputs a list of extracted relationships (e.g., 'person works for organization'). This is useful for anyone needing to build knowledge graphs or perform information extraction from vast amounts of unstructured text.
115 stars. No commits in the last 6 months.
Use this if you need to extract specific relationships between entities from a very large collection of texts, where manually labeling every instance is impractical or impossible.
Not ideal if you have a small, well-labeled dataset or if you need to extract entities without focusing on their specific relationships.
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Python
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Jul 20, 2021
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