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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

deepak-yadav-12
deepak-yadav-12 🇮🇳

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Download Natural Language Processing: Lexical Semantics, Semantic Ambiguity, and Pragmatic Analysis and more Schemes and Mind Maps Natural Language Processing (NLP) in PDF only on Docsity! 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?