How do I do dependency parsing in NLTK?

Question

Going through the NLTK book, it\'s not clear how to generate a dependency tree from a given sentence.

The relevant section of the book: sub-chapter on dependency gra

Answer 1

If you need better performance, then spacy (https://spacy.io/) is the best choice. Usage is very simple:

import spacy

nlp = spacy.load('en')
sents = nlp(u'A woman is walking through the door.')

You'll get a dependency tree as output, and you can dig out very easily every information you need. You can also define your own custom pipelines. See more on their website.

https://spacy.io/docs/usage/