This volume investigates the persistent challenge of polysemy and lexical ambiguity within the framework of computational linguistics. Editors Branimir Boguraev and James Pustejovsky curate a collection of research that addresses how natural language processing systems can effectively resolve multiple meanings for single lexical items. The text synthesizes theoretical linguistic models with practical computational applications to propose new methodologies for machine understanding of human language.

Experts recognize this collection as a foundational resource for understanding the evolution of computational approaches to semantics. Readers frequently note the academic density of the prose, which serves as a technical reference for researchers and students in the field of natural language processing.