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Natural Language Processing in Artificial Intelligence — NLPinAI 2021: Studies in Computational Intelligence, cartea 999

Editat de Roussanka Loukanova
en Limba Engleză Paperback – 3 noi 2022
The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications.

Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing, along with models of computation, language, reasoning, and other cognitive processes.
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Specificații

ISBN-13: 9783030901400
ISBN-10: 3030901408
Pagini: 119
Ilustrații: VII, 119 p. 27 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.19 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Decidable Fragments of Calculi Used in CatLog.-  Interactive Theorem Proving for Logic and Information.- A Valence Catalogue for Norwegian.- Arabic Computational Linguistics: Potential, Pitfalls and Challenges.

Textul de pe ultima copertă

The book covers theoretical work, approaches, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language are proliferating. Adequate coverage of natural language processing in artificial intelligence encounters problems on developments of specialized computational approaches and algorithms. Many difficulties are due to ambiguities in natural language and dependency of interpretations on contexts and agents. Classical approaches proceed with relevant updates, and new developments emerge in theories of formal and natural languages, computational models of information and reasoning, and related computerized applications.

Its focus is on computational processing of human language and relevant medium languages, which can be theoretically formal, or for programming and specification of computational systems. The goal is to promote intelligent natural language processing,along with models of computation, language, reasoning, and other cognitive processes.

Caracteristici

Covers theoretical work, applications, approaches, and techniques for computational models of information Promotes intelligent natural language processing in computational approaches, via related models of thought Discusses the results of the NLPinAI 2021 held online on February 4–6, 2021