Synopsis
Resolving Semantic Ambiguity arrrays the work of leading theorists on the issues surrounding the meaning and interpretation of ambiguous text. The chapters are organized around three major (1) retrieval, (2) representation of words, and (3) text as a context. The book offers a number of new challenges to the role of context in language processing, some striking new evidence on the repetition of homographs in different contexts, and new approaches to resolution capable of being incorporated into either modular or network models. In several papers the problem of ambiguity is extended to include the problem of weak ambiguity and understanding text themes. The book provides a unique starting point for researchers approaching the problems of meaning in cognitive science, psychology, and computational linguistics.
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