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Natural Language Processing in Artificial Intelligence—NLPinAI 2020: Studies in Computational Intelligence, cartea 939

Editat de Roussanka Loukanova
en Limba Engleză Paperback – 29 mar 2022
This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to ambiguities and dependency on context and agents (humans or computational systems). The goal is to promote computational systems of intelligent natural language processing and related models of computation, language, thought, mental states, reasoning, and other cognitive processes. 
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Specificații

ISBN-13: 9783030637897
ISBN-10: 3030637891
Ilustrații: VII, 245 p. 55 illus., 13 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.36 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Lambek Calculus with Classical Logic.- Partial Orders, Residuation, and First-Order Linear Logic.- A Hyperintensional Theory of Intelligent Question Answering in TIL.- Learning Domain-Specific Grammars From a Small Number of Examples.- The Semantic Level of Shannon Information: Are Highly Informative Words Good Keywords? A Study on German.- Towards Aspect Extraction and Classification for Opinion Mining with Deep Sequence Networks.- Dialogical Argumentation and Textual Entailment.- A Novel Approach to Determining the Quality of News Headlines.

Textul de pe ultima copertă

This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to ambiguities and dependency on context and agents (humans or computational systems). The goal is to promote computational systems of intelligent natural language processing and related models of computation, language, thought, mental states, reasoning, and other cognitive processes. 

Caracteristici

Covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language Promotes intelligent natural language processing in computational approaches, via related models of thought, mental states, reasoning, and other cognitive processes Edited results of the Natural Language Processing in Artificial Intelligence Conference – NLPinAI 2020, held at 22–24 February 2020, in Valletta, Malta