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Application Of Graph Rewriting To Natural Language Processing


Application Of Graph Rewriting To Natural Language Processing
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Application Of Graph Rewriting To Natural Language Processing


Application Of Graph Rewriting To Natural Language Processing
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Author : Guillaume Bonfante
language : en
Publisher: John Wiley & Sons
Release Date : 2018-04-16

Application Of Graph Rewriting To Natural Language Processing written by Guillaume Bonfante and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-16 with Language Arts & Disciplines categories.


The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way of representing the deep syntax and the semantics of natural languages. Deep syntax is an abstraction of syntactic dependencies towards semantics in the form of graphs and there is a compact way of representing the semantics in an underspecified logical framework also with graphs. Then, Graph Rewriting reconciles efficiency with linguistic readability for producing representations at some linguistic level by transformation of a neighbor level: from raw text to surface syntax, from surface syntax to deep syntax, from deep syntax to underspecified logical semantics and conversely.



Application Of Graph Rewriting To Natural Language Processing


Application Of Graph Rewriting To Natural Language Processing
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Author : Guillaume Bonfante
language : en
Publisher: John Wiley & Sons
Release Date : 2018-04-16

Application Of Graph Rewriting To Natural Language Processing written by Guillaume Bonfante and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-16 with Language Arts & Disciplines categories.


The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But graphs are a natural way of representing the deep syntax and the semantics of natural languages. Deep syntax is an abstraction of syntactic dependencies towards semantics in the form of graphs and there is a compact way of representing the semantics in an underspecified logical framework also with graphs. Then, Graph Rewriting reconciles efficiency with linguistic readability for producing representations at some linguistic level by transformation of a neighbor level: from raw text to surface syntax, from surface syntax to deep syntax, from deep syntax to underspecified logical semantics and conversely.



Graph Learning And Network Science For Natural Language Processing


Graph Learning And Network Science For Natural Language Processing
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Author : Muskan Garg
language : en
Publisher: CRC Press
Release Date : 2022-12-28

Graph Learning And Network Science For Natural Language Processing written by Muskan Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-28 with Business & Economics categories.


Advances in graph-based natural language processing (NLP) and information retrieval tasks have shown the importance of processing using the Graph of Words method. This book covers recent concrete information, from the basics to advanced level, about graph-based learning, such as neural network-based approaches, computational intelligence for learning parameters and feature reduction, and network science for graph-based NPL. It also contains information about language generation based on graphical theories and language models. Features: Presents a comprehensive study of the interdisciplinary graphical approach to NLP Covers recent computational intelligence techniques for graph-based neural network models Discusses advances in random walk-based techniques, semantic webs, and lexical networks Explores recent research into NLP for graph-based streaming data Reviews advances in knowledge graph embedding and ontologies for NLP approaches This book is aimed at researchers and graduate students in computer science, natural language processing, and deep and machine learning.



Deep Learning Techniques And Optimization Strategies In Big Data Analytics


Deep Learning Techniques And Optimization Strategies In Big Data Analytics
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Author : Thomas, J. Joshua
language : en
Publisher: IGI Global
Release Date : 2019-11-29

Deep Learning Techniques And Optimization Strategies In Big Data Analytics written by Thomas, J. Joshua and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.


Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.



Machine Learning For Social Transformation


Machine Learning For Social Transformation
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Author : Jyotsna Kumar Mandal
language : en
Publisher: Springer Nature
Release Date : 2025-01-02

Machine Learning For Social Transformation written by Jyotsna Kumar Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.


The book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of India, Kolkata Chapter during 12 – 13 January 2024. The Theme of the conference is “Machine Learning for Social Transformation”. The book covers the topics such as computational intelligence for social transformation, machine learning for healthcare informatics, and machine learning for agriculture and environmental sustainability.



Distributed Computing And Artificial Intelligence Special Sessions I 20th International Conference


Distributed Computing And Artificial Intelligence Special Sessions I 20th International Conference
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Author : Rashid Mehmood
language : en
Publisher: Springer Nature
Release Date : 2023-07-25

Distributed Computing And Artificial Intelligence Special Sessions I 20th International Conference written by Rashid Mehmood and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Technology & Engineering categories.


The present book brings together experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. DCAI 2023 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 108 papers were submitted, by authors from 31 different countries representing a truly “wide area network” of research activity. The DCAI’23 technical program has selected 50 full papers in the Special Sessions (ASET, AIMPM, AI4CS, CLIRAI, TECTONIC, PSO-ML, SmartFoF, IoTalentum) and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA), and the sponsors (AIR Institute).



Graph Transformation


Graph Transformation
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Author : Russ Harmer
language : en
Publisher: Springer Nature
Release Date : 2024-07-01

Graph Transformation written by Russ Harmer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-01 with Computers categories.


This book constitutes the refereed proceedings of the 17th International Conference on Graph Transformation, ICGT 2024, held in Enschede, The Netherlands, during July 10–11, 2024. The 10 full papers and 3 short papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: Theoretical Advances; Application Domains; and Tool and Blue Skies Presentations.



Reformulation And Acquisition Of Linguistic Complexity


Reformulation And Acquisition Of Linguistic Complexity
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Author : Claire Martinot
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-07

Reformulation And Acquisition Of Linguistic Complexity written by Claire Martinot and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-07 with Language Arts & Disciplines categories.


Reformulation and Acquisition of Linguistic Complexity proposes a new answer to the question of the appropriation or acquisition of a mother tongue – a complex object, one that is both stable and perpetually evolving. This answer is based on the reformulating principle that children spontaneously apply; a principle that is illustrated here with children retelling the same story. These children are all 6, 8 or 10 years old and speak French, Italian, Croatian or Polish as a first language. This book demonstrates that the acquisition of any mother tongue is explained by the application of various reformulation procedures between source predications and reformulated predications. These procedures are comparable from one language to another, and different from one age group to another. This book also studies certain complex phenomena at the lexical and syntactical levels, and analyzes how children, depending on their age, treat these phenomena. Finally, we show that the acquisition of a mother tongue is a fundamentally linguistic activity.



Advances In Natural Language Processing


Advances In Natural Language Processing
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Author : Tapio Salakoski
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-10

Advances In Natural Language Processing written by Tapio Salakoski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-10 with Computers categories.


This book constitutes the refereed proceedings of the 5th International Conference on Natural Language Processing, FinTAL 2006, held in Turku, Finland in August 2006. The book presents 72 revised full papers together with 1 invited talk and the extended abstracts of 2 invited keynote addresses. The papers address all current issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.



Graph Grammars And Their Application To Computer Science


Graph Grammars And Their Application To Computer Science
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Author : Janice Cuny
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-05-08

Graph Grammars And Their Application To Computer Science written by Janice Cuny and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-05-08 with Computers categories.


This book describes the functional properties and the structural organization of the members of the thrombospondin gene family. These proteins comprise a family of extracellular calcium binding proteins that modulate cellular adhesion, migration and proliferation. Thrombospondin-1 has been shown to function during angiogenesis, wound healing and tumor cell metastasis.