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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
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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?