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Question

What is the purpose of unsupervised methods for information extraction on the corpus level?

a.

To analyze sentiment in documents

b.

To perform multidocument similarity analysis

c.

To generate document term profiles

d.

To extract plausible ontology concepts and predicates

Posted under Big Data Computing

Answer: (d).To extract plausible ontology concepts and predicates Explanation:The purpose of unsupervised methods for information extraction on the corpus level is to extract plausible ontology concepts and predicates, particularly related to ontology learning.

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Q. What is the purpose of unsupervised methods for information extraction on the corpus level?

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