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EndsemNov 20232019 patternBE Comp

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
410252A
Pattern
2019 pattern
Exam
Endsem
Session
Nov 2023
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6181]-116

Printed for: B.E. (Computer Engineering)

Instructions to the candidates

  1. All questions are compulsory.
  2. Figures to the right indicate full marks.

Questions

  1. Q1

    1. a)

      What are generative models of language? Explain any one model in detail.

      Also asked:Nov 2024

      [4]
    2. b)

      Consider the following small corpus: Training corpus: <s> I am from Pune </s> <s> I am a teacher </s> <s> students are good and are from various cities </s> <s> students from Pune do engineering </s> Test data: <s> students are from Pune </s> Find the Bigram probability of the given test sentence.

      [8]
    3. c)

      Explain in detail Latent Semantic Analysis for topic modelling (LSA).

      Also asked:Nov 2024 ·May 2023

      [6]

  2. Q2

    1. a)

      Write short note on BERT.

      [4]
    2. b)

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

      [6]
    3. c)

      Describe the Latent Dirichlet Allocation (LDA) algorithm and how it is used for topic modeling?

      Also asked:May 2023

      [8]

  3. Q3

    1. a)

      Describe the concept of Information Retrieval. Explain the significance of Natural Language Processing in Information Retrieval.

      Also asked:May 2023

      [4]
    2. b)

      Explain reference resolution and conference resolution with example.

      [8]
    3. c)

      What is Cross-Lingual information Retrieval, and how is it used in Natural Language Processing? Provide an example.

      Also asked:May 2023

      [6]

  4. Q4

    1. a)

      Explain the concept of the Vector Space Model, and describe how it is used in Information Retrieval.

      Also asked:Nov 2024 ·May 2023

      [6]
    2. b)

      Describe entity extraction and relation extraction with the help of examples.

      Also asked:Nov 2024 ·May 2023

      [8]
    3. c)

      What is Named Entity Recognition (NER)? Describe the various metrics used for evaluation.

      Also asked:May 2023

      [4]

  5. Q5

    1. a)

      List the tools available for the development of NLP applications? Write the features of any 3 tools.

      Also asked:Nov 2025 ·Nov 2024 ·May 2023

      [7]
    2. b)

      Describe in detail the Lesk algorithm and Walker’s algorithm for word sense disambiguation.

      Also asked:Nov 2024 ·May 2023

      [10]

  6. Q6

    1. a)

      Explain the following lexical knowledge networks? i) WordNet ii) Indo WordNet iii) VerbNets iv) PropBank v) Treebanks

      Also asked:Nov 2024

      [10]
    2. b)

      Write Python code using NLTK library to split the text into tokens using whitespace, punctuation-based and default tokenization methods.

      [7]

  7. Q7

    1. a)

      Explain three stages of Question Answering system with neat diagram.

      [7]
    2. b)

      Explain Rule based Machine Translation and Statistical Machine Translation (SMT) with suitable diagrams and example.

      Also asked:Nov 2024 ·May 2023

      [10]

  8. Q8

    1. a)

      Describe following NLP applications: i) Text Entailment ii) Dialog and Conversational Agents

      [10]
    2. b)

      Explain Natural Language Generation with reference architecture. 

      Also asked:Nov 2025 ·May 2025 ·Nov 2024 ·May 2023

      [7]