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Automatic Text Simplification


Automatic Text Simplification
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Automatic Text Simplification


Automatic Text Simplification
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Author : Horacio Saggion
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-04-25

Automatic Text Simplification written by Horacio Saggion and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-25 with Computers categories.


Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or longand complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.



Automatic Text Simplification


Automatic Text Simplification
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Author : Horacio Saggion
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Automatic Text Simplification written by Horacio Saggion and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or long and complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.



Automatic Text Simplification


Automatic Text Simplification
DOWNLOAD

Author : Horacio Saggion
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-04-25

Automatic Text Simplification written by Horacio Saggion and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-25 with Computers categories.


Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written—its vocabulary, its syntax—can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Texts containing uncommon words or longand complicated sentences can be difficult to read and understand by people as well as difficult to analyze by machines. Automatic text simplification is the process of transforming a text into another text which, ideally conveying the same message, will be easier to read and understand by a broader audience. The process usually involves the replacement of difficult or unknown phrases with simpler equivalents and the transformation of long and syntactically complex sentences into shorter and less complex ones. Automatic text simplification, a research topic which started 20 years ago, now has taken on a central role in natural language processing research not only because of the interesting challenges it posesses but also because of its social implications. This book presents past and current research in text simplification, exploring key issues including automatic readability assessment, lexical simplification, and syntactic simplification. It also provides a detailed account of machine learning techniques currently used in simplification, describes full systems designed for specific languages and target audiences, and offers available resources for research and development together with text simplification evaluation techniques.



Artificial Intelligence Science And Technology Proceedings Of The 2016 International Conference Aist2016


Artificial Intelligence Science And Technology Proceedings Of The 2016 International Conference Aist2016
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Author : Hui Yang
language : en
Publisher: #N/A
Release Date : 2017-06-28

Artificial Intelligence Science And Technology Proceedings Of The 2016 International Conference Aist2016 written by Hui Yang and has been published by #N/A this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-28 with Computers categories.


The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.



Artificial Intelligence In Education


Artificial Intelligence In Education
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Author : Ig Ibert Bittencourt
language : en
Publisher: Springer Nature
Release Date : 2020-07-04

Artificial Intelligence In Education written by Ig Ibert Bittencourt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-04 with Computers categories.


This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.* The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. ​*The conference was held virtually due to the COVID-19 pandemic.



2021 Ieee 5th Advanced Information Technology Electronic And Automation Control Conference Iaeac


2021 Ieee 5th Advanced Information Technology Electronic And Automation Control Conference Iaeac
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-03-12

2021 Ieee 5th Advanced Information Technology Electronic And Automation Control Conference Iaeac written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-12 with categories.


The aim of IAEAC 2021 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Information Technology,Communication,Network,Electronic and Automation Control It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration



Text As Data


Text As Data
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Author : Justin Grimmer
language : en
Publisher: Princeton University Press
Release Date : 2022-03-29

Text As Data written by Justin Grimmer and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Computers categories.


A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry



Advances In Power Systems And Energy Management


Advances In Power Systems And Energy Management
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Author : Neeraj Priyadarshi
language : en
Publisher: Springer Nature
Release Date : 2021-01-20

Advances In Power Systems And Energy Management written by Neeraj Priyadarshi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Technology & Engineering categories.


This book comprises select proceedings of the international conference ETAEERE 2020, and focuses on contemporary issues in energy management and energy efficiency in the context of power systems. The contents cover modeling, simulation and optimization based studies on topics like medium voltage BTB system, cost optimization of a ring frame unit in textile industry, rectenna for RF energy harvesting, ecology and energy dimension in infrastructural designs, study of AGC in two area hydro thermal power system, energy-efficient and reliable depth-based routing protocol for underwater wireless sensor network, and power line communication. This book can be beneficial for students, researchers as well as industry professionals.



Automatic Adaptation Of Swedish Text For Increased Inclusion


Automatic Adaptation Of Swedish Text For Increased Inclusion
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Author : Evelina Rennes
language : en
Publisher:
Release Date : 2022

Automatic Adaptation Of Swedish Text For Increased Inclusion written by Evelina Rennes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Electronic books categories.




Clinical Text Mining


Clinical Text Mining
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Author : Hercules Dalianis
language : en
Publisher: Springer
Release Date : 2018-05-14

Clinical Text Mining written by Hercules Dalianis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-14 with Computers categories.


This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.