Why summarization condenses information in NLP - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a summary by selecting the first sentence.

NLP

text = "Machine learning helps computers learn from data. It improves tasks automatically."
summary = text.split('. ')[[1]]

Drag options to blanks, or click blank then click option'

A1

B0

C-1

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Choosing index 1 instead of 0

Using -1 which selects the last sentence

The first sentence is at index 0 in the split list, so selecting index 0 gives the summary.

2fill in blank

medium

Complete the code to count the number of words in the summary.

NLP

summary = "Machine learning helps computers learn from data"
word_count = len(summary.[1]())

Drag options to blanks, or click blank then click option'

Areplace

Bjoin

Csplit

Dstrip

Attempts:

3 left

💡 Hint

Common Mistakes

Using join which combines words

Using replace which changes characters

Splitting the summary by spaces creates a list of words. Counting this list gives the word count.

3fill in blank

hard

Fix the error in the code to generate a summary by joining the first two sentences.

NLP

text = "AI is a field of computer science. It focuses on creating smart machines."
summary = '. '.join(text.split('. ')[:[1]])

Drag options to blanks, or click blank then click option'

A0

B1

C3

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Using 1 which only selects the first sentence

Using 3 which selects extra sentences

To include the first two sentences, slice up to index 2 (not 1) because slicing excludes the end index.

4fill in blank

hard

Fill both blanks to create a dictionary of sentence lengths for sentences longer than 5 words.

NLP

text = "Summarization reduces text length. It keeps important info."
sentences = text.split('. ')
lengths = {sentence: len(sentence.[1]()) for sentence in sentences if len(sentence.[2]()) > 5}

Drag options to blanks, or click blank then click option'

Asplit

Bjoin

Creplace

Dstrip

Attempts:

3 left

💡 Hint

Common Mistakes

Using join which combines words

Using strip which removes spaces

Splitting each sentence into words counts the words. The dictionary stores sentence and its word count if more than 5 words.

5fill in blank

hard

Fill all three blanks to create a summary dictionary with sentence keys in uppercase and word counts greater than 3.

NLP

text = "Summarization condenses information. It helps understand quickly."
sentences = text.split('. ')
summary = {sentence.[1](): len(sentence.[2]()) for sentence in sentences if len(sentence.[3]()) > 3}

Drag options to blanks, or click blank then click option'

Aupper

Bsplit

Cstrip

Dlower

Attempts:

3 left

💡 Hint

Common Mistakes

Using lower() instead of upper()

Using strip() which removes spaces but doesn't split words

Uppercase the sentence keys, split sentences to count words, and check word count > 3 using split.