KR and NLU

The A * or A Star is used for …………………

• used for reduce search costs in a problem

• used for reduce query costs in a problem

• both a) and B)

• None of the above

Natural Language Processing deals with ………………….

• the relationship between computer and human brain

• the relationship between computer and human (natural) languages.

• both a) and b)

• None of the above

It is one of the real world application of NLP.

• Topic modeling

• Speech Recognition

• both a) and b)

• none of the above

It is a example of Text Prediction /Auto-correction?

• Speech Recognition

• Gmail and Grammarly

• both a) and b)

• none of the above

Which is true about frames?

• Represent the knowledge in the form of graphical networks

• Consists of nodes representing objects and arcs which describe the relationship between those objects

• It is very easy to add slots for new attributes and relations.

• use IS-A relation (Inheritance)

Select the most appropriate situation for that a blind search can be used.

• Real-life situation

• Small Search Space

• Complex game

• All of the above

Which statement is valid for the Heuristic function?

• The heuristic function is used to solve mathematical problems.

• The heuristic function takes parameters of type string and returns an integer value.

• The heuristic function does not have any return type.

• The heuristic function calculates the cost of an optimal path between the pair of states.

Limitation of Hill Climbing:

(a) Stochastic

(b) Ridge

(c) Foothill

(d) Plateau

• (a)

• (a), (b), and (c)

• (b), (c), and (d)

• All of the above

Which of the following is true?

• Syntactic Analysis (Parsing): is used to check grammar, word arrangements, and shows the relationship among the words

• Semantic Analysis: is concerned with the meaning representation. It mainly focuses on the literal meaning of words, phrases, and sentences.

• NLP is difficult because Ambiguity and Uncertainty exist in the language.

• All of the above

Word tokenization

• breaks the paragraph into separate sentences.

• breaks the sentence into separate words or tokens

• normalizes words into its base form or root form

• collects the individual piece of information and grouping them into bigger pieces of sentences