davidsbatista/BREDS
"Bootstrapping Relationship Extractors with Distributional Semantics" (Batista et al., 2015) in EMNLP'15 - Python implementation
This tool helps you automatically find specific relationships between entities (like companies and their headquarters or people and their employers) within large amounts of text. You provide text where entities are already identified, along with a few examples of the relationship you're looking for. It then learns from these examples and outputs a list of newly discovered relationships with a confidence score. This is ideal for researchers or data analysts who need to extract structured data from unstructured text.
142 stars. Available on PyPI.
Use this if you need to extract specific types of relationships between named entities from a large corpus of text, starting with only a few examples.
Not ideal if you need to identify entities first, or if you're looking for a tool that can discover new, undefined relationships without any initial examples.
Stars
142
Forks
38
Language
Python
License
LGPL-3.0
Category
Last pushed
Mar 17, 2026
Commits (30d)
0
Dependencies
3
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