This book integrates the research being carried out in the field of lexical semantics in linguistics with the work on knowledge representation and lexicon design in computational linguistics. It provides a stimulating and unique discussion between the computational perspective of lexical meaning and the concerns of the linguist for the semantic description of lexical items in the context of syntactic descriptions.
The theory presented explores how words can possess an infinite number of meanings despite having finite forms, challenging traditional views of lexical semantics. It emphasizes an active lexicon that generates meanings contextually, enhancing natural language processing capabilities. Key topics include the semantics of various nominals, the lexicalization of causation, the interplay between semantic types and syntax, and a formal approach to event semantics and polysemy. This innovative framework aims to enrich our understanding of word meaning and its application in computational linguistics.
An accessible introduction to lexical structure and design, and the relation of the lexicon to grammar as a whole. The Lexicon can be used for introductory and advanced courses, and includes a range of exercises and in-class activities designed to engage students, and help them acquire the knowledge and skills they need.
Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a gold standard corpus, and then beginning the actual data creation with the annotation process.