Entity Linking

Using the DBpedia Spotlight integration for SpaCy¹, we can easily extract and link DBpedia entities from any text.

Initializing DBpedia Spotlight

nlp = spacy.load("hu_core_news_trf")
nlp.add_pipe("dbpedia_spotlight", config={'dbpedia_rest_endpoint': 'https://dbpedia-spotlight.dsd.sztaki.hu/hu', 'overwrite_ents': False})

Presenting the entities

doc = nlp("A Mátrix című sci-fi film Keanu Reeves, Laurence Fishburne, Carrie-Anne Moss, Joe Pantoliano és Hugo Weaving főszereplésével.")
pd.DataFrame([
    {"Text": ent.text, 
    "Resource": ent.kb_id_, 
    "Similarity Score": ent._.dbpedia_raw_result['@similarityScore']}
     for ent in doc.spans["dbpedia_spotlight"]])

This example is available on Hugging Face Spaces, while the full source code is on GitHub.

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Last update: January 3, 2024