Skip to content
EndsemMay 20232019 patternBE IT

Natural Language Processing (NLP) SPPU Endsem Question Paper May 2023

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated NLP questions
Subject code
414451C
Pattern
2019 pattern
Exam
Endsem
Session
May 2023
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6004]-577

Printed for: B.E.

Instructions to the candidates

  1. Answer Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6 and Q.7 or Q.8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicate full marks.
  4. Assume suitable data, if necessary.

Questions

  1. Q1

    1. a)

      What is Lexical Semantic? What are the main approaches to meaning representative Compare and contrast them?

      Also asked:Nov 2024

      [8]
    2. b)

      Explain Word Sense Disambiguation. How it is handled in NLP?

      Also asked:May 2024

      [10]

  2. Q2

    1. a)

      Define cohesion and explain its role in discourse processing.

      [6]
    2. b)

      Write a short note on : Relation of class model and state model.

      Also asked:Nov 2024

      [6]
    3. c)

      Explain Sematic meaning and its representation with respect to Indian languages.

      [6]

  3. Q3

    1. a)

      How Dependency path kernal is used in relation extraction.

      Also asked:Nov 2023

      [8]
    2. b)

      What is role of annotate knowledge in text reports.

      Also asked:Nov 2024 ·May 2024

      [9]

  4. Q4

    1. a)

      How natural language processing is used in web search? Explain with an example.

      [7]
    2. b)

      Write a note on : i) Frame semantics. ii) Semantic role labeling.

      Also asked:May 2025 ·Nov 2024

      [10]

  5. Q5

    1. a)

      Write algorithmic steps in detail for document separation.

      [8]
    2. b)

      Write a note on : i) Domain knowledge. ii) Domain Concepts. iii) Knowledge Roles. 2

      Also asked:Nov 2024 ·Nov 2023

      [9]

  6. Q6

    1. a)

      Give a suitable example for “Document Separation as a sequence Mapping problem”.

      Also asked:May 2025 ·May 2024

      [8]
    2. b)

      What is Role Data Preparation in Automatic Document Separation.

      [9]

  7. Q7

    1. a)

      Explain in detail working of iSTART.

      [8]
    2. b)

      Write a note on Lexical resources : i) Stemmers. ii) Part-of-Speech Tagger.

      Also asked:Nov 2024

      [10]

  8. Q8

    1. a)

      Explain in detail “Evaluation of the IR System”.

      Also asked:Nov 2024

      [6]
    2. b)

      Discuss in detail design Features of any Information Retrieval systems.

      [6]
    3. c)

      How Classical Information Retrieval Models works? 

      Also asked:May 2025

      [6]