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EndsemNov 20232019 patternBE IT

Natural Language Processing (NLP) SPPU Endsem Question Paper Nov 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
Nov 2023
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6181]-205

Printed for: B.E. (Information Technology)

Instructions to the candidates

  1. Answers: Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7 or 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)

      Write a short note on Semantic Analysis.

      [6]
    2. b)

      Explain in detail the types of referring expressions.

      Also asked:Nov 2024

      [6]
    3. c)

      Explain Discourse reference resolution in detail.

      [6]

  2. Q2

    1. a)

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

      Also asked:Nov 2024

      [6]
    2. b)

      Describe in detail Centering Algorithm for reference resolution.

      [6]
    3. c)

      How do anaphora affect cohesion in discourse processing?

      Also asked:May 2025

      [6]

  3. Q3

    1. a)

      Explain with example a Dependency-Path Kernel for Relation Extraction.

      Also asked:May 2023

      [6]
    2. b)

      Explain the following : i) Domain Knowledge ii) Knowledge Roles.

      Also asked:Nov 2024 ·May 2023

      [6]
    3. c)

      Explain the journey of text processing from word Sequences to dependency Paths.

      Also asked:May 2025

      [6]

  4. Q4

    1. a)

      With a neat diagram explain the learning frame work architecture.

      [8]
    2. b)

      Write short note on the following : i) In fact System Overview ii) Global Security.org

      Also asked:May 2025

      [10]

  5. Q5

    1. a)

      How pages are classified for trainable document separation?

      Also asked:May 2025 ·Nov 2024

      [9]
    2. b)

      Write a note on various approaches for analyzing texts.

      Also asked:May 2025

      [9]

  6. Q6

    1. a)

      Explain POS tagging with example.

      [9]
    2. b)

      What is the concept of corpora? How do you use corpus in NLP?

      [9]

  7. Q7

    1. a)

      Explain the stammers in detail also frame net and word net.

      Also asked:May 2025 ·May 2024

      [9]
    2. b)

      Explain design feature of IR system with a neat diagram.

      Also asked:Nov 2024 ·May 2024

      [7]

  8. Q8

    1. a)

      Explain iStart in detail.

      [9]
    2. b)

      This part has equations that don’t show as text. Open the PDF to read it.

      [7]