Natural language processing and knowledge representation : language for knowledge and knowledge for language / edited by Lucja M. Iwanska and Stuart C. Shapiro

Includes bibliographical references.

Natural language is a powerful knowledge representation system: the UNO model / Łucja M. Iwańska -- Natural language syntax and first order inference / David A. McAllester, Robert Givan -- Issues in the representation of real texts: the design of KRISP / David D. McDonald -- Episodic logic meets Little Red Riding Hood: a comprehensive natural representation for language understanding / Lenhart K. Schubert, Chung Hee Hwang -- SNePS: a logic for natural language understanding and commonsense reasoning / Stuart C. Shapiro -- A multi-level approach to interlingual machine translation: defining the interface between representational languages / Bonnie J. Dorr, Clare R. Voss -- Uniform natural (language) spatio-temporal logic: reasoning about absolute and relative space and time / Łucja M. Iwańska -- Mixed depth representations for dialog processing / Susan W. McRoy, Syed S. Ali, Susan M. Haller -- Enriching the WordNet taxonomy with contextual knowledge acquired from text / Sanda M. Harabagiu, Dan I. Moldovan -- Fully automatic acquisition of taxonomic knowledge from large corpora of texts: limited-syntax knowledge representation system based on natural language / Łucja M. Iwańska, Naveen Mata, and Kellyn Kruger -- A computational theory of vocabulary acquisition / William J. Rapaport, Karen Ehrlich -- Propositional, first-order, and higher-order logics / Stuart C. Shapiro -- Relations, lattices, algebras, generalized quantifier: definitions and theorems / Łucja M. Iwańska -- Representational and inferential challenges of natural language: examples and data / Łucja M. Iwańska.

This book explores the development of knowledge representation and reasoning systems that take seriously the role of natural language in human information and knowledge processing.