qipeng/gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
This project helps natural language processing researchers extract relationships between entities from text, especially when those relationships involve words that are far apart in a sentence. You input text with identified entities, and it outputs the probable relationships between them. This is primarily for researchers and practitioners working on advanced NLP tasks like information extraction or knowledge graph construction.
372 stars. No commits in the last 6 months.
Use this if you need to identify semantic relationships (like 'founder_of', 'located_in') between specific entities within sentences, particularly when those entities are not adjacent.
Not ideal if you are looking for a simple keyword extraction tool or don't have access to specialized datasets like TACRED.
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Python
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Jul 29, 2020
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