Practice Tasks (1.4) - Natural Language Processing (NLP) in Depth

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9 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the purpose of classification in NLP?
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Think about how we organize emails.
Question 2.
What does NER stand for?
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It identifies specific names and entities in text.
3Question 3.
Which task in NLP focuses on identifying entities like names and locations?
- Classification
- Named Entity Recognition
- Machine Translation
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Think about what we do with names in a text.
4Question 4.
True or False: POS tagging is concerned with text classification.
- True
- False
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Consider the different aspects of language analysis.
Question 5.
Design a hypothetical NLP application that utilizes NER and classification. Describe the problem it addresses and how it works.
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Consider how you would benefit from quickly finding suitable job listings.
Question 6.
Evaluate the limitations of machine translation in translating technical documents. Propose improvements.
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Think about how expert knowledge can inform better translations.

5 more questions in this section. Enroll free to practise them all.