pencoa/PCNN
A neural architecture for relation extraction task implemented in Tensorflow.
This project helps natural language processing engineers and researchers extract relationships between entities from sentences. It takes a collection of sentences as input and identifies the specific relationships that exist between named entities within those sentences, such as "founder of" or "located in." This is useful for building knowledge graphs or populating databases with structured information derived from unstructured text.
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Use this if you need to identify and categorize relationships between entities within text for tasks like knowledge graph construction or information extraction.
Not ideal if you are looking for a general-purpose text classification tool or if your primary goal is sentiment analysis.
Stars
93
Forks
36
Language
Python
License
Apache-2.0
Last pushed
Jun 01, 2018
Commits (30d)
0
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