Natural Language Processing in Artificial Intelligence NLPinAI 2021

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.

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 46, 2021

Inhalt
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.