Natural Language Processing: Lexical Semantics, Semantic Ambiguity, and Pragmatic Analysis, Schemes and Mind Maps of Natural Language Processing (NLP)

Key topics in natural language processing (nlp), including lexical semantics, semantic ambiguity, and pragmatic analysis. It defines and explains concepts such as lexemes, senses, word sense disambiguation, homonyms, hyponymy, hypernymy, wordnet, pragmatics, discourse analysis, and reference resolution. A comprehensive overview of these fundamental nlp principles and their applications, making it a valuable resource for students and researchers in the field of computational linguistics and natural language processing.

Typology: Schemes and Mind Maps

2022/2023

Uploaded on 04/16/2023

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NLP
Practice Questions Module 5 & 6.1
5.1 Lexical Semantics
What is Lexical semantics? What are lexemes and senses?
What are the advantages of Lexical approaches?
Describe the principle of Lexical approach
5.2 Semantic Ambiguity
When does semantic ambiguity arise?
Illustrate Word sense with an example
5.3. Relation between senses
Explain relation between lexemes and their senses with examples
How can homonyms be problematic for NLP applications?
Brief about Zeugma?
Differentiate Hyponymy and Hypernymy
5.4 Wordnet
Summarize about Wordnet
What is Synset?
Module 6:
6.1 Pragmatic Analysis
Define Pragmatics
Write a short not on Pragmatic analysis
6.2 Discourse Analysis
Define Discourse
Brief about Discourse analysis
6.3 Reference Resolution
Define Reference in NLP
Explain Reference resolution
Define and Illustrate these terms with example: Referring Expression, Referent, Corefer,
Antecedent, Anafora
What are the types of referents which complicate the reference resolution?
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NLP

Practice Questions Module 5 & 6. 5.1 Lexical Semantics What is Lexical semantics? What are lexemes and senses? What are the advantages of Lexical approaches? Describe the principle of Lexical approach 5.2 Semantic Ambiguity When does semantic ambiguity arise? Illustrate Word sense with an example 5.3. Relation between senses Explain relation between lexemes and their senses with examples How can homonyms be problematic for NLP applications? Brief about Zeugma? Differentiate Hyponymy and Hypernymy 5.4 Wordnet Summarize about Wordnet What is Synset?

Module 6:

6.1 Pragmatic Analysis

Define Pragmatics

Write a short not on Pragmatic analysis

6.2 Discourse Analysis

Define Discourse

Brief about Discourse analysis

6.3 Reference Resolution

Define Reference in NLP

Explain Reference resolution

Define and Illustrate these terms with example: Referring Expression, Referent, Corefer,

Antecedent, Anafora

What are the types of referents which complicate the reference resolution?