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EndsemNov 20242019 patternBE IT

Natural Language Processing (NLP) SPPU Endsem Question Paper Nov 2024

All 7 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated NLP questions
Subject code
414451 C
Pattern
2019 pattern
Exam
Endsem
Session
Nov 2024
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6354]-586

Printed for: B.E. (Information Technology)

Instructions to the candidates

  1. Answer Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7or Q.8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right side 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 representation? Compare and contrast them.

      Also asked:May 2023

      [10]
    2. b)

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

      Also asked:May 2023

      [8]

  2. Q2

    1. a)

      What is Word Sense Disambiguation (WSD)? Explain the dictionary based approach to Word Sense Disambiguation.

      Also asked:Nov 2023

      [6]
    2. b)

      Explain in detail the types of referring expressions.

      Also asked:Nov 2023

      [6]
    3. c)

      Explain Sematic meaning and its representation with respect to Indian languages. ,, Q3) a) Explain dependency path? How it is used in Experimental Evaluation? What is Kernal? [9]

      [6]
    4. b)

      What is role of annotate knowledge in text reports.

      Also asked:May 2024 ·May 2023

      [9]

  3. Q4

    1. a)

      How sentences are mapped into Word Sequences and then to Dependency Paths.

      [9]
    2. b)

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

      Also asked:May 2025 ·May 2023

      [9]

  4. Q5

    1. a)

      How pages are classified for trainable document separation.

      Also asked:May 2025 ·Nov 2023

      [9]
    2. b)

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

      Also asked:Nov 2023 ·May 2023

      [9]

  5. Q6

    1. a)

      Write in detail the high level representation approaches in text mining.

      Also asked:May 2024

      [9]
    2. b)

      What is probabilistic model? Give examples of probabilistic models and explain any one in detail.

      Also asked:May 2025 ·May 2024

      [9]

  6. Q7

    1. a)

      Write short note on : i) Stemmers ii) Part-of-Speech Tagger.

      Also asked:May 2023

      [10]
    2. b)

      Explain design feature of IR with a neat diagram.

      Also asked:May 2024 ·Nov 2023

      [6]

  7. Q8

    1. a)

      With a suitable example explain cluster based IR modeling.

      Also asked:May 2025

      [9]
    2. b)

      Explain in detail “Evaluation of the IR System”. JJJ

      Also asked:May 2023

      [7]