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Natural language processing in artif...
~
Loukanova, Roussanka.
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Natural language processing in artificial intelligence = NLPinAI 2020 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Natural language processing in artificial intelligence/ edited by Roussanka Loukanova.
Reminder of title:
NLPinAI 2020 /
remainder title:
NLPinAI 2020
other author:
Loukanova, Roussanka.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
vii, 245 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Natural language processing (Computer science) -
Online resource:
https://doi.org/10.1007/978-3-030-63787-3
ISBN:
9783030637873
Natural language processing in artificial intelligence = NLPinAI 2020 /
Natural language processing in artificial intelligence
NLPinAI 2020 /[electronic resource] :NLPinAI 2020edited by Roussanka Loukanova. - Cham :Springer International Publishing :2021. - vii, 245 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.9391860-949X ;. - Studies in computational intelligence ;v.939..
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.
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.
ISBN: 9783030637873
Standard No.: 10.1007/978-3-030-63787-3doiSubjects--Topical Terms:
565309
Natural language processing (Computer science)
LC Class. No.: QA76.9.N38
Dewey Class. No.: 006.35
Natural language processing in artificial intelligence = NLPinAI 2020 /
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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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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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Intelligent Technologies and Robotics (SpringerNature-42732)
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EB QA76.9.N38
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