Exercise

Dependency parsing with spaCy

Dependency parsing analyzes the grammatical structure in a sentence and finds out related words as well as the type of relationship between them. An application of dependency parsing is to identify a sentence object and subject. In this exercise, you will practice extracting dependency labels for given texts.

Three comments from the Airline Travel Information System (ATIS) dataset have been provided for you in a list called texts. en_core_web_sm model is already loaded and available for your use as nlp.

Instructions

100 XP

Create a documents list containing the doc containers of each element in the texts list.
Print a tuple of (the token's text, dependency label, and label's explanation) per each doc container.

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Instructions

Exercise