Natural Language Processing in Artificial Intelligence—NLPinAI 2020
Author:   Roussanka Loukanova
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   939
ISBN:  

9783030637897


Pages:   245
Publication Date:   29 March 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Natural Language Processing in Artificial Intelligence—NLPinAI 2020


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Overview

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. 

Full Product Details

Author:   Roussanka Loukanova
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Volume:   939
Weight:   0.397kg
ISBN:  

9783030637897


ISBN 10:   3030637891
Pages:   245
Publication Date:   29 March 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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