The aim of the project is to extract from Natural Language relevant semantic informations. The input text is divided into triples (Subject - Relation - Object). WordNet here is used to get the meaning of relation and DBpedia is used to extract information from subject and object.
nlp semantic-web spacy dbpedia wordnet semantic-relationship-extraction sparql-query stanza corenlp triple-extraction sparqlwrapper dbpedia-entities semantic-information
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Updated
Feb 28, 2022 - Jupyter Notebook