Computational Linguistics, Information, Reasoning, and AI 2024
Computational Linguistics, Information, Reasoning, and AI 2024 | 6.76 MB
Title: Computational Linguistics, Information, Reasoning, and AI 2024
Author: Roussanka Loukanova
Category: Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Technology, Engineering
Language: English | 174 Pages | ISBN: 1575866307
Description:
This book covers theoretical work, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language and reasoning methods are proliferating. Adequate coverage of related works and advanced applications encounter difficult problems related to the phenomena of partiality, underspecification, perspectives of agents, and context dependency. These phenomena are signature features of information in nature, natural languages, and reasoning.
The goal of this collection of works is to promote advanced, intelligent approaches of Mathematical Logic and its applications to systems of proofs and verification, Mathematical and Computational Linguistics, and Natural Language Processing (NLP).
The intended readers of this book are researchers in Mathematical Logic and Computer Science, as well as Mathematical and Computational Linguistics, to advance work on theories and applications to Artificial Intelligence (AI), Natural Language Processing (NLP), and related subjects.
DOWNLOAD:
https://rapidgator.net/file/0e69e81a7876fe8d6b5bc2d3dd509d24/Computational_Linguistics_Information_Reasoning_and_AI_2024.rar
https://nitroflare.com/view/A18B956427E17CB/Computational_Linguistics_Information_Reasoning_and_AI_2024.rar
This book covers theoretical work, applications, and techniques for computational models of information, language, and reasoning. Computational and technological developments that incorporate natural language and reasoning methods are proliferating. Adequate coverage of related works and advanced applications encounter difficult problems related to the phenomena of partiality, underspecification, perspectives of agents, and context dependency. These phenomena are signature features of information in nature, natural languages, and reasoning.
The goal of this collection of works is to promote advanced, intelligent approaches of Mathematical Logic and its applications to systems of proofs and verification, Mathematical and Computational Linguistics, and Natural Language Processing (NLP).
The intended readers of this book are researchers in Mathematical Logic and Computer Science, as well as Mathematical and Computational Linguistics, to advance work on theories and applications to Artificial Intelligence (AI), Natural Language Processing (NLP), and related subjects.
DOWNLOAD:
https://rapidgator.net/file/0e69e81a7876fe8d6b5bc2d3dd509d24/Computational_Linguistics_Information_Reasoning_and_AI_2024.rar
https://nitroflare.com/view/A18B956427E17CB/Computational_Linguistics_Information_Reasoning_and_AI_2024.rar
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