What is a dependency parse tree? While there is no simple explanation on the spaCy website, I found a good explanation on the Stanford Stanza website.
Dependency parsing .. builds a tree structure of words from the input sentence, which represents the syntactic dependency relations between words.
It is easier to explain with an example.
Add a new file called dependency_parse.py to the project and add the following code
Note: you need to download the en_core_web_sm model first to be able to run the script below
import spacy from spacy import displacy nlp = spacy.load("en_core_web_sm") doc = nlp("Dialogflow, previously known as api.ai, is a chatbot framework provided by Google. Google acquired API.AI in 2016.") displacy.serve(doc, style="dep")
Notice that we have also imported a new module called displacy. It allows us to visualize the results of the dependency parsing
When you run the code, the Run window in PyCharm provides a link to localhost
Click on the link, and you will see something like this:
What you see is the “tree” structure of the sentences, where the tree branches represent relationships.