The essays in this interdisciplinary book cover a range of
implementations and designs, from formal computational models to
large-scale NL processing systems.Natural language (NL) refers to
human language-complex, irregular, diverse, with all its
philosophical problems of meaning and context. Setting a new
direction in AI research, this book explores the development of
knowledge representation and reasoning (KRR) systems that simulate
the role of NL in human information and knowledge processing.
Traditionally, KRR systems have incorporated NL as an interface to
an expert system or knowledge base that performed tasks separate
from NL processing. As this book shows, however, the computational
nature of representation and inference in NL makes it the ideal
level for all tasks in an intelligent computer system. NL
processing combines the qualitative characteristics of human
knowledge processing with a computer's quantitative advantages,
allowing for in-depth, systematic processing of vast amounts of
information. The essays in this interdisciplinary book cover a
range of implementations and designs, from formal computational
models to large-scale NL processing systems.ContributorsSyed 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
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