Natural Language Processing Engineer Question:

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Which of the following statement is(are) true for Word2Vec model?

A) The architecture of word2vec consists of only two layers – continuous bag of words and skip-gram model
B) Continuous bag of word is a shallow neural network model
C) Skip-gram is a deep neural network model
D) Both CBOW and Skip-gram are deep neural network models
E) All of the above

Natural Language Processing Engineer Interview Question
Natural Language Processing Engineer Interview Question

Answer:

C) Skip-gram is a deep neural network model

Word2vec contains the Continuous bag of words and skip-gram models, which are deep neural nets.

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Previous QuestionNext Question
Which of the following regular expression can be used to identify date(s) present in the text object:

“The next meetup on data science will be held on 2017-09-21, previously it happened on 31/03, 2016”

A) d{4}-d{2}-d{2}
B) (19|20)d{2}-(0[1-9]|1[0-2])-[0-2][1-9] C) (19|20)d{2}-(0[1-9]|1[0-2])-([0-2][1-9]|3[0-1])
D) None of the above
While working with text data obtained from news sentences, which are structured in nature, which of the grammar-based text parsing techniques can be used for noun phrase detection, verb phrase detection, subject detection and object detection.

A) Part of speech tagging
B) Dependency Parsing and Constituency Parsing
C) Skip Gram and N-Gram extraction
D) Continuous Bag of Words