nlg.utils.ner wrongly clubs named entities and nouns together. This is a problem because NEs undergo a literal search, whereas nouns should undergo a lemmatized search.
E.g. "Inception is a good movie."
Here the word "movie", if it appears in an inflected form in the dataframe, will not be correctly templatized because NER clubs it with NEs like "Inception".
nlg.utils.nerwrongly clubs named entities and nouns together. This is a problem because NEs undergo a literal search, whereas nouns should undergo a lemmatized search.E.g.
"Inception is a good movie."Here the word"movie", if it appears in an inflected form in the dataframe, will not be correctly templatized because NER clubs it with NEs like"Inception".