named-entity-recognition – Make Me Engineer

Extract list of Persons and Organizations using Stanford NER Tagger in NLTK

May 28, 2023 by Tarik

Thanks to the link discovered by @Vaulstein, it is clear that the trained Stanford tagger, as distributed (at least in 2012) does not chunk named entities. From the accepted answer: Many NER systems use more complex labels such as IOB labels, where codes like B-PERS indicates where a person entity starts. The CRFClassifier class and … Read more

NLTK Named Entity recognition to a Python list

October 10, 2022 by Tarik

nltk.ne_chunk returns a nested nltk.tree.Tree object so you would have to traverse the Tree object to get to the NEs. Take a look at Named Entity Recognition with Regular Expression: NLTK >>> from nltk import ne_chunk, pos_tag, word_tokenize >>> from nltk.tree import Tree >>> >>> def get_continuous_chunks(text): … chunked = ne_chunk(pos_tag(word_tokenize(text))) … continuous_chunk = [] … Read more