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Before diving into Semantic Analysis, this chapter examines meaning representation, a crucial component of NLP that precedes discussions on semantic and pragmatic analysis. It explores four major meaning representation techniques: first-order predicate calculus (FOPC), semantic nets, conceptual dependency diagrams (CDD), and frame-based representation. Following this, the chapter introduces the concept of canonical form and explores Fillmore’s Theory of Universal Cases. It concludes with an in-depth discussion of predicate logic and inference using FOPC, supported by live examples for practical understanding.

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Meaning Representation

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  • 发表日期：

    2025年

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  • Raymond Lee

摘要

Before diving into Semantic Analysis, this chapter examines meaning representation, a crucial component of NLP that precedes discussions on semantic and pragmatic analysis. It explores four major meaning representation techniques: first-order predicate calculus (FOPC), semantic nets, conceptual dependency diagrams (CDD), and frame-based representation. Following this, the chapter introduces the concept of canonical form and explores Fillmore’s Theory of Universal Cases. It concludes with an in-depth discussion of predicate logic and inference using FOPC, supported by live examples for practical understanding.