Meaning Representation

Before the study of semantic analysis, this chapter explores meaning representation, a vital component in NLP before the discussion of semantic and pragmatic analysis. It studies four major meaning representation techniques which include: first-order predicate calculus (FOPC), semantic net, conceptual dependency diagram (CDD), and frame-based representation. After that it explores canonical form and introduces Fillmore’s theory of universal cases followed by predicate logic and inference work using FOPC with live examples.