Computing with WordsPaul P. Wang Wiley, 30.04.2001 - 466 Seiten Fuzzy logic refers to a computer's ability to make decisions involving "grey" or "fuzzy" areas. As linguistics contains numerous "grey" areas, computing with words through the use of fuzzy logic is an extremely hot topic in database and Internet research. This book explores the state of the art in linguistic computation, discussing how current research findings are extending the application of fuzzy logic beyond control engineering and intelligent systems into the use of language on a computer. Fuzzy logic pioneer, Dr. Lofti Zadeh, provides the introduction for this thought-provoking work. |
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Seite 214
... senses . For example , a list of all the synonyms of board yields eight different synsets , each designating a different sense of the noun . The most commonly used sense ( sense 1 ) is { board , plank } , while the least commonly used sense ...
... senses . For example , a list of all the synonyms of board yields eight different synsets , each designating a different sense of the noun . The most commonly used sense ( sense 1 ) is { board , plank } , while the least commonly used sense ...
Seite 215
Paul P. Wang. sense in WordNet . The training interface provides sense definitions so that the user would know which sense to choose . ) By default , the system will assign sense 1 to the headwords if no other specific sense is given by ...
Paul P. Wang. sense in WordNet . The training interface provides sense definitions so that the user would know which sense to choose . ) By default , the system will assign sense 1 to the headwords if no other specific sense is given by ...
Seite 243
... sense to understand each other , " as well as " it takes common sense to stay focused , and to learn . " He points out that today's computers lack the capacity to comprehend most of our speech and text intelligently simply because they ...
... sense to understand each other , " as well as " it takes common sense to stay focused , and to learn . " He points out that today's computers lack the capacity to comprehend most of our speech and text intelligently simply because they ...
Inhalt
MEYSTEL Department of Electrical and Computer Engineering | 1 |
FROM COMPUTING WITH NUMBERS TO COMPUTING WITH | 32 |
THE PROBLEMS | 69 |
Urheberrecht | |
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adverbs agents aggregation algorithms analysis applications approach artificial intelligence Bandler basic BK-products body systems Clinaid cognitive linguistic cognitive sciences complex computational semiotics computational verb computing with words concept constraint propagation context coreference crisp decision defined Definition domain dynamic entities environment example expressed extraction FDNF Figure formal front end fuzzy constraint fuzzy graph fuzzy information granulation fuzzy logic fuzzy relations Fuzzy Sets Syst grammar granularity human identified IEEE important inference input intelligent systems interpretation knowledge representation L. A. Zadeh L. J. Kohout labels language discourse linear linguistic terms linguistic variable mathematical meaning natural language processing neural objects operator perceptions performance phrase precision predicate principle problem Proc procedures propositions query reasoning relational computations relational structures represented rules SCIP Section semantic semiotic descriptors sentence specific syntactic texts theory tion truth tables ural language values WordNet
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