Total No. of Questions : 8] SEAT No.

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P624 [Total No. of Pages : 2
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INFORMATION TECHNOLOGY

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Natural Language Processing

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(2019 Pattern) (Semester - VIII) (414451C) (Elective - V)

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Time : 2½ Hours] 4/0 13 [Max. Marks : 70
Instructions to the candidates:
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1) Answer Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6 and Q.7 or Q.8.
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2) Neat diagrams must be drawn wherever necessary.

3) Figures to the right indicate full marks.
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4) Assume suitable data, if necessary.

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Q1) a) What is Lexical Semantic? What are the main approaches to meaning
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representative Compare and contrast them? [8]
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b) Explain Word Sense Disambiguation. How it is handled in NLP? [10]
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Q2) a) Define cohesion and explain its role in discourse processing. [6]
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b) Write a short note on : Relation of class model and state model. [6]
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c) Explain Sematic meaning and its representation with respect to Indian

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languages. [6]
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Q3) a) How Dependency path kernal is used in relation extraction. [8]

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b) What is role of annotate knowledge in text reports. [9]

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Q4) a) How natural language processing is used in web search? Explain with an
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example. [7]
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b) Write a note on : [10]

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i) Frame semantics.
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ii) Semantic role labeling.

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Q5) a) Write algorithmic steps in detail for document separation. [8]

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b) Write a note on : [9]

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i) Domain knowledge.
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ii) Domain Concepts.

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iii) Knowledge Roles.

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Q6) a) Give a suitable example for “Document Separation as a sequence Mapping

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problem”. [8]

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b) What is Role Data Preparation in Automatic Document Separation. [9]

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Q7) a) Explain in detail working of iSTART. [8]

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b) Write a note on Lexical resources : [10]

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Stemmers.
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ii) Part-of-Speech Tagger.
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Q8) a) Explain in detail “Evaluation of the IR System”. [6]

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b) Discuss in detail design Features of any Information Retrieval systems.

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c) How Classical Information Retrieval Models works? [6]
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