Dependency parsing in NLP - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the spaCy library for dependency parsing.

NLP

import [1]

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Aspacy

Btensorflow

Cnltk

Dsklearn

Attempts:

3 left

💡 Hint

Common Mistakes

Importing nltk instead of spaCy

Using sklearn which is for machine learning, not NLP

spaCy is a popular library for natural language processing, including dependency parsing.

2fill in blank

medium

Complete the code to load the English language model in spaCy.

NLP

nlp = spacy.load('[1]')

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Aes_core_news_sm

Ben_core_web_sm

Cde_core_news_sm

Dfr_core_news_sm

Attempts:

3 left

💡 Hint

Common Mistakes

Using a French or German model for English text

Misspelling the model name

The English small model in spaCy is named 'en_core_web_sm'.

3fill in blank

hard

Fix the error in the code to get the dependency label of the first token.

NLP

doc = nlp('I love AI')
label = doc[0].[1]

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Alemma_

Bpos_

Cdep_

Dtext

Attempts:

3 left

💡 Hint

Common Mistakes

Using pos_ instead of dep_

Using text which gives the token string, not the dependency label

The dependency label of a token is accessed with the dep_ attribute in spaCy.

4fill in blank

hard

Fill both blanks to create a dictionary of tokens and their dependency labels.

NLP

dep_dict = {token.[1]: token.[2] for token in doc}

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Atext

Bdep_

Cpos_

Dlemma_

Attempts:

3 left

💡 Hint

Common Mistakes

Using pos_ instead of dep_ for dependency labels

Using lemma_ instead of text for token keys

We use text for the token string and dep_ for its dependency label.

5fill in blank

hard

Fill all three blanks to print each token, its head token, and the dependency relation.

NLP

for token in doc:
    print(f"Token: {token.[1], Head: {token.[2].[3]")

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Atext

Bhead

Ddep_

Attempts:

3 left

💡 Hint

Common Mistakes

Using dep_ instead of text for printing token strings

Trying to print head without accessing its text attribute

We print the token's text, the head token object, and the head token's text.