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IT-802 (B) · Natural Language Processing/Important Questions

Natural Language Processing (IT-802 (B)) - Important Questions

  1. Unit 47 Marks Medium Priority Asked: 2024

    Differentiate Anaphora resolution and named entity resolution.

    Direct question from Dec 2024 paper on Semantic Analysis (contrast between two resolution tasks).

  2. Unit 47 Marks Medium Priority Asked: 2024

    Why we need to study Semantic Analysis? Discuss Bootstrapping methods of Semantic Analysis.

    Exact question from Dec 2024 asking motivation for semantic analysis and bootstrapping methods; core Unit 4 topic.

  3. Unit 45 Marks Medium Priority Asked: 2024

    Word Sense Disambiguation (WSD)

    Short direct question from Dec 2024; expects definitions/approaches for WSD.

  4. Unit 47 Marks Medium Priority Asked: 2024

    Explain lexical semantics and describe the major semantic relations such as synonymy, antonymy, hypernymy, hyponymy and meronymy with suitable examples.

    Covers Lexical semantics (appears in past papers); asks for definitions and major semantic relations with examples.

  5. Unit 410 Marks Low Priority

    Describe Semantic Role Labeling (SRL). Compare PropBank and FrameNet annotation approaches and discuss key applications of SRL.

    Important subtopic linking syntax to semantics; standard extended-answer question for Unit 4 (predicted).

  6. Unit 410 Marks Medium Priority Asked: 2024

    Explain the major approaches to Word Sense Disambiguation: knowledge-based, supervised and unsupervised methods. Give examples and discuss the advantages and limitations of each approach.

    Expanded WSD question derived from past short question; assesses knowledge of different methodological classes and trade-offs.

  7. Unit 410 Marks Medium Priority Asked: 2024

    Discuss anaphora (coreference) resolution. Describe rule-based, supervised and neural approaches and explain common evaluation metrics used for coreference resolution.

    Broader coreference question building on anaphora resolution asked previously; expects techniques and evaluation metrics.

  8. Unit 410 Marks Low Priority

    Explain semantic parsing and the task of mapping natural language to logical forms. Discuss applications and outline one algorithmic approach for building a semantic parser.

    Advanced semantic analysis topic; important for higher-mark questions though not directly in past papers (predicted).

  9. Unit 47 Marks Low Priority

    Discuss lexical and frame resources used in semantic analysis such as WordNet, FrameNet, VerbNet and domain ontologies. Explain how these resources support WSD, SRL and semantic parsing.

    Resource knowledge is commonly tested in semantics; relates to WSD, SRL and semantic parsing.

  10. Unit 47 Marks Medium Priority Asked: 2024

    Explain the principle of compositionality and its role in deriving sentence meaning from word and phrase meanings. Illustrate with examples involving phrase, clause and sentence structure.

    Connects phrase/clause/sentence structure to semantics; appears in heatmap and is core to composing meaning.

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