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Explore the theoretical foundations of underspecification in computational linguistics through this lecture delivered at Johns Hopkins University's Center for Speech and Language Processing. Delve into Alexander Koller's comprehensive framework for understanding how linguistic expressions can systematically leave certain aspects of meaning unspecified, examining the mathematical and computational approaches to modeling ambiguity and vagueness in natural language. Learn about the formal mechanisms that allow for efficient representation and processing of underspecified semantic structures, including scope ambiguities, quantifier interactions, and other phenomena where multiple interpretations are possible. Discover how underspecification theory connects various areas of computational linguistics, from parsing and semantic analysis to natural language generation and machine translation, providing a unified approach to handling linguistic ambiguity across different applications and theoretical frameworks.
