def get_spacy_entites(self, text: str) -> list:
<EOL>doc = self._language_model(text)<EOL>entities = [{"<STR_LIT>": ent.label_,<EOL>"<STR_LIT:value>": ent.text,<EOL>"<STR_LIT:start>": ent.start_char,<EOL>"<STR_LIT:end>": ent.end_char} for ent in doc.ents]<EOL>return entities<EOL>
Pretrained (spaCy)
Uses averaged preceptron
Places, dates, people, organizations