Natural Language Processing and Knowledge Representation

Language for Knowledge and Knowledge for Language
Erscheinungsjahr 2000
ISBN: 978-0-262-59021-1
Verlag: MIT Press

Buch, Englisch, 480 Seiten, Trade Paperback, Format (B × H): 152 mm x 229 mm, Gewicht: 692 g

Reihe: American Association for Artificial Intelligence

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

Autoren/Hrsg.

Iwanska, Lucja

Shapiro, Stuart C.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung