|
|
||
![]() |
||
| HELP | ||
|
This item may be
Check for Availabilityout of stock. Click on the button below to search for this title in other formats. Natural Language Processing and Knowledge Representation: Language for Knowledge and Knowledge for Language
Synopses & ReviewsPublisher Comments:Natural language (NL) refers to human languageandmdash;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. 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. Synopsis:The essays in this interdisciplinary book cover a range of implementations and designs, from formal computational models to large-scale NL processing systems. Synopsis: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. Description:Includes bibliographical references (p. [415]-439) and index. Table of Contentsch. 1. Natural language is a powerful knowledge representation system: the UNO model — ch. 2. Natural language syntax and first order inference — ch. 3. Issues in the representation of real texts: the design of KRISP — ch. 4. Episodic logic meets little red riding hood; a comprehensive natural representation for language understanding — ch. 5. SNePS: a logic for natural language understanding and commonsense reasoning — ch. 6. A multi-level approach to interlingual machine translation: defining the interface between representational languages — ch. 7. Uniform natural (language) spatio-temporal logic: reasoning about absolute and relative space and time — ch. 8. Mixed depth representations for dialog processing — ch. 9. Enriching the WordNet taxonomy with contextual knowledge acquired from text — ch. 10. Fully automatic acquisition of taxonomic knowledge from large corpora of texts: limited-syntax knowledge representation systems based on natural language — ch. 11. A computational theory of vocabulary acquisition. What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
Other books you might like
| |||
|
| ||||
|
|
||||