A multilingual knowledge graph in spaCy

A spaCy wrapper for ConceptNet, a freely-available semantic network designed to help computers understand the meaning of words.


import spacy import concepcy nlp = spacy.load('en_core_web_sm') # Using default concepCy configuration nlp.add_pipe('concepcy') doc = nlp('WHO is a lovely company') # Access all the 'RelatedTo' relations from the Doc for word, relations in doc._.relatedto.items(): print(f'Word: {word} {relations}') # Access the 'RelatedTo' relations word by word for token in doc: print(f'Word: {token} {token._.relatedto}')

Author info

Jules Belveze


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If you have a project that you want the spaCy community to make use of, you can suggest it by submitting a pull request to the spaCy website repository. The Universe database is open-source and collected in a simple JSON file. For more details on the formats and available fields, see the documentation. Looking for inspiration your own spaCy plugin or extension? Check out the project idea section in Discussions.

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