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54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
import spacy
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from spacy.kb import KnowledgeBase
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def create_kb():
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mykb = KnowledgeBase()
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print("kb size", len(mykb))
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# adding entities
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entity_42 = "Q42" # douglas adams
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mykb.add_entity(entity_id=entity_42, prob=0.5)
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print("adding entity", entity_42)
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entity_5301561 = "Q5301561"
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mykb.add_entity(entity_id=entity_5301561, prob=0.5)
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print("adding entity", entity_5301561)
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print("kb size", len(mykb))
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# adding aliases
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alias = "douglas"
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print("adding alias", alias)
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mykb.add_alias(alias=alias, entities=["Q42", "Q5301561"], probabilities=[0.8, 0.2])
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print("kb size", len(mykb))
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print("aliases for", alias)
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mykb.get_candidates(alias)
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def add_el():
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nlp = spacy.load('en_core_web_sm')
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print("pipes before:", nlp.pipe_names)
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el_pipe = nlp.create_pipe(name='el')
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nlp.add_pipe(el_pipe, last=True)
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print("pipes after:", nlp.pipe_names)
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print()
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text = "The Hitchhiker's Guide to the Galaxy, written by Douglas Adams, reminds us to always bring our towel."
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doc = nlp(text)
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for token in doc:
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print("token", token.text, token.ent_type_, token.ent_kb_id_)
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print()
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for ent in doc.ents:
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print("ent", ent.text, ent.label_, ent.kb_id_)
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if __name__ == "__main__":
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# add_el()
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create_kb()
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