Natural Language Processing and Knowledge Representation ― Language for Knowledge and Knowledge for Language

Natural language (NL) refers to human language--complex, irregular, diverse, with allits philosophical problems of meaning and context. Setting a new direction in AI research, this bookexplores the development of knowledge representation and reasoning (KRR) systems that simulate therole of NL in human information and knowledge processing.Traditionally, KRR systems haveincorporated NL as an interface to an expert system or knowledge base that performed tasks separatefrom NL processing. As this book shows, however, the computational nature of representation andinference in NL makes it the ideal level for all tasks in an intelligent computer system. NLprocessing combines the qualitative characteristics of human knowledge processing with a computer1squantitative advantages, allowing for in-depth, systematic processing of vast amounts ofinformation. The essays in this interdisciplinary book cover a range of implementations and designs,from formal computational models to large-scale NL processing systems.Contributors : Syed S. Ali,Bonnie J. Dorr, Karen Ehrlich, Robert Givan, Susan M. Haller, Sanda Harabagiu, Chung Hee Hwang,Lucja Iwanska, Kellyn Kruger, Naveen Mata, David A. McAllester, David D. McDonald, Susan W. McRoy,Dan Moldovan, William J. Rapaport, Lenhart Schubert, Stuart C. Shapiro, Clare R. Voss.