Natural Language Processing in Artificial Intelligence - NLPinAI 2021
Natural Language Processing in Artificial Intelligence - NLPinAI 2021
edited by Roussanka Loukanova
- 1st edition 2022
- 1 recurso en línea (VII, 119 páginas) 27 ilustraciones
- Studies in Computational Intelligence 999 1860-9503 .
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.
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.
9783030901387
10.1007/978-3-030-90138-7 doi
Proceso en lenguaje natural (Informática)--Congresos y asambleas
QA76.9 .N38 / 2022 EB
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.
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.
9783030901387
10.1007/978-3-030-90138-7 doi
Proceso en lenguaje natural (Informática)--Congresos y asambleas
QA76.9 .N38 / 2022 EB