Machine Reading Comprehension
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Machine Reading Comprehension
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Author : Chenguang Zhu
language : en
Publisher: Elsevier
Release Date : 2021-03-20
Machine Reading Comprehension written by Chenguang Zhu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-20 with Computers categories.
Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms and Practice performs a deep-dive into MRC, offering a resource on the complex tasks this technology involves. The title presents the fundamentals of NLP and deep learning, before introducing the task, models, and applications of MRC. This volume gives theoretical treatment to solutions and gives detailed analysis of code, and considers applications in real-world industry. The book includes basic concepts, tasks, datasets, NLP tools, deep learning models and architecture, and insight from hands-on experience. In addition, the title presents the latest advances from the past two years of research. Structured into three sections and eight chapters, this book presents the basis of MRC; MRC models; and hands-on issues in application. This book offers a comprehensive solution for researchers in industry and academia who are looking to understand and deploy machine reading comprehension within natural language processing. - Presents the first comprehensive resource on machine reading comprehension (MRC) - Performs a deep-dive into MRC, from fundamentals to latest developments - Offers the latest thinking and research in the field of MRC, including the BERT model - Provides theoretical discussion, code analysis, and real-world applications of MRC - Gives insight from research which has led to surpassing human parity in MRC
Metaheuristics In Machine Learning Theory And Applications
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Author : Diego Oliva
language : en
Publisher: Springer Nature
Release Date : 2021-07-13
Metaheuristics In Machine Learning Theory And Applications written by Diego Oliva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-13 with Computers categories.
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
Theoretical Issues In Reading Comprehension
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Author : Rand J. Spiro
language : en
Publisher: Routledge
Release Date : 2017-11-03
Theoretical Issues In Reading Comprehension written by Rand J. Spiro and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-03 with Psychology categories.
Research in cognitive psychology, linguistics, and artificial intelligence – the three disciplines that have the most direct application to an understanding of the mental processes in reading – is presented in this multilevel work, originally published in 1980, that attempts to provide a systematic and scientific basis for understanding and building a comprehensive theory of reading comprehension. The major focus is on understanding the processes involved in the comprehension of written text. Underlying most of the contributions is the assumption that skilled reading comprehension requires a coordination of text with context in a way that goes far beyond simply chaining together the meanings of a string of decoded words. The topics discussed are divided into five general areas: Global Issues; Text Structure; Language, Knowledge of the World, and Inference; Effects of Prior Language Experience; and Comprehension Strategies and Facilitators, and represent a broad base of methodology and data that should be of interest not only to those concerned with the reading process, but also to basic science researchers in psychology, linguistics, artificial intelligence, and related disciplines.
The Psychology Of Reading
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Author : Robert G. Crowder
language : en
Publisher: Oxford University Press, USA
Release Date : 1992
The Psychology Of Reading written by Robert G. Crowder and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Psychology categories.
Cognitive psychologists have discovered that reading represents a natural laboratory for studying almost all cognitive processes: from sensation and perception to comprehension and reasoning. This introductory-level textbook examines the psychology of reading and the important cognitive principles that pertain to it. Though grounded in the latest research, this new edition maintains the objective of its predecessor--to provide a highly accessible introduction for students approaching the subject for the first time. It builds on the useful and well established principles of the first edition while incorporating the substantial growth of knowledge since its publication nearly a decade ago. The text is intended for students from a variety of disciplines, although those in courses on educational psychology and the psychology of reading will find it particularly helpful.
Text Speech And Dialogue
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Author : Kamil Ekštein
language : en
Publisher: Springer Nature
Release Date : 2023-08-22
Text Speech And Dialogue written by Kamil Ekštein and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-22 with Computers categories.
This book constitutes the refereed proceedings of the 26th International Conference on Text, Speech, and Dialogue, TSD 2023, held in Pilsen, Czech Republic, during September 4–6, 2023. The 31 full papers presented together with the abstracts of 3 keynote talks were carefully reviewed and selected from 64 submissions. The conference attracts researchers not only from Central and Eastern Europe but also from other parts of the world. One of its goals has always been bringing together NLP researchers with various interests from different parts of the world and promoting their cooperation. One of the ambitions of the conference is, not only to deal with dialogue systems but also to improve dialogue among researchers in areas of NLP, i.e., among the “text” and the “speech” and the “dialogue” people.
Training Datasets For Machine Reading Comprehension And Their Limitations
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Author : Johannes Welbl
language : en
Publisher:
Release Date : 2020
Training Datasets For Machine Reading Comprehension And Their Limitations written by Johannes Welbl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Advanced Intelligent Technologies For Industry
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Author : Kazumi Nakamatsu
language : en
Publisher: Springer Nature
Release Date : 2022-05-18
Advanced Intelligent Technologies For Industry written by Kazumi Nakamatsu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Technology & Engineering categories.
The book includes new research results of scholars from the Second International Conference on Advanced Intelligent Technologies (ICAIT 2021) subtitled Intelligent Technology and Industry organized by IRNet International Academic Communication Center, held during October 15–17, 2021. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The book focuses on theory, design, development, testing, and evaluation of all intelligent technologies applicable/applied to various parts of industry and its infrastructure. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.
Information Retrieval
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Author : Shichao Zhang
language : en
Publisher: Springer
Release Date : 2018-09-18
Information Retrieval written by Shichao Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-18 with Computers categories.
This book constitutes the refereed proceedings of the 24th China Conference on Information Retrieval, CCIR 2018, held in Guilin, China, in September 2018. The 22 full papers presented were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections: Information retrieval, collaborative and social computing, natural language processing.
Artificial Neural Networks And Machine Learning Icann 2019 Text And Time Series
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Author : Igor V. Tetko
language : en
Publisher: Springer Nature
Release Date : 2019-09-09
Artificial Neural Networks And Machine Learning Icann 2019 Text And Time Series written by Igor V. Tetko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-09 with Computers categories.
The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
Natural Language Processing And Information Retrieval
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Author : Muskan Garg
language : en
Publisher: CRC Press
Release Date : 2023-11-28
Natural Language Processing And Information Retrieval 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 2023-11-28 with Computers categories.
This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.