Automatic Text Simplification

Automatic Text Simplification

Author: Horacio Saggion

Publisher: Springer Nature

Published: 2022-05-31

Total Pages: 121

ISBN-13: 3031021665

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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.


Book Synopsis Automatic Text Simplification by : Horacio Saggion

Download or read book Automatic Text Simplification written by Horacio Saggion and published by Springer Nature. This book was released on 2022-05-31 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: Horacio Saggion

Publisher: Morgan & Claypool Publishers

Published: 2017-04-25

Total Pages: 188

ISBN-13: 168173186X

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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.


Book Synopsis Automatic Text Simplification by : Horacio Saggion

Download or read book Automatic Text Simplification written by Horacio Saggion and published by Morgan & Claypool Publishers. This book was released on 2017-04-25 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)

Author: Hui Yang

Publisher: #N/A

Published: 2017-06-28

Total Pages: 845

ISBN-13: 9813206837

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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.


Book Synopsis Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) by : Hui Yang

Download or read book Artificial Intelligence Science And Technology - Proceedings Of The 2016 International Conference (Aist2016) written by Hui Yang and published by #N/A. This book was released on 2017-06-28 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author: Ig Ibert Bittencourt

Publisher: Springer Nature

Published: 2020-07-04

Total Pages: 458

ISBN-13: 3030522407

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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.


Book Synopsis Artificial Intelligence in Education by : Ig Ibert Bittencourt

Download or read book Artificial Intelligence in Education written by Ig Ibert Bittencourt and published by Springer Nature. This book was released on 2020-07-04 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Automatic Text Simplification Tools to Provide Reading Assistance for Deaf and Hard-of-hearing Individuals

Automatic Text Simplification Tools to Provide Reading Assistance for Deaf and Hard-of-hearing Individuals

Author: Oliver Alonzo

Publisher:

Published: 2023

Total Pages: 0

ISBN-13:

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"Automatic Text Simplification (ATS) consists of computing techniques to rewrite text to make it simpler to read and understand, and prior research has explored its use to provide reading assistance to various user groups who may benefit from reading support. Prior literacy research has identified great diversity in literacy skills among DHH adults, and prior computing accessibility research has identified benefits from providing ATS-based reading assistance to other user groups. Thus, while ATS holds promise to benefit DHH adults, little research has investigated the benefits from, interests in and preferences for such technologies among DHH adults. Thus, this work aims to investigate the use of ATS-based reading assistance to support DHH adult readers. This dissertation is organized in three parts centered around three major contributions: requirement- and interest-gathering, methodological research, and design and evaluation work. Part I of this dissertation focuses on the requirements and interests of DHH adults on ATS-based reading assistance tools. As a relatively new technology, it is still unknown whether DHH adults would be interested in such technologies, what purposes they would be interested in them for, and what personal or technical characteristics may affect their interests. Furthermore, with various approaches to ATS available (e.g. lexical or syntactic approaches), it is unknown which ones would be of interest and/or benefit to DHH adults. Thus, we first explore perspective of DHH adults on ATS-based reading assistance tools. Then, Part II of this dissertation focuses on methodological work on how to evaluate the output of ATS technologies with DHH adults. Prior work on the evaluation of linguistic technologies has identified challenges when evaluating their technologies among DHH adults with varying literacy skill levels. However, it remains unknown if such challenges are also present when evaluating the output of ATS systems among DHH adults. Considering that there are various aspects of the output to evaluate, including its complexity or readability, and its overall quality or fluency, we investigate which metrics can reliably evaluate those characteristics of ATS output among this user group. After establishing interests and evaluation methods for various characteristics of simplified texts, Part III of this dissertation focuses on the design of these tools, and includes evaluations of such tools with DHH adults. We first investigate an exploration of the design space to identify which configurations of the various design parameters may provide more usability to DHH adults, and to understand the rational for their preferences. Using the preferred settings identified, we then conduct an evaluation to investigate the DHH users' preferences and interactions with a system that provides the various capabilities of ATS technologies using realistic output from existing systems."--Abstract.


Book Synopsis Automatic Text Simplification Tools to Provide Reading Assistance for Deaf and Hard-of-hearing Individuals by : Oliver Alonzo

Download or read book Automatic Text Simplification Tools to Provide Reading Assistance for Deaf and Hard-of-hearing Individuals written by Oliver Alonzo and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Automatic Text Simplification (ATS) consists of computing techniques to rewrite text to make it simpler to read and understand, and prior research has explored its use to provide reading assistance to various user groups who may benefit from reading support. Prior literacy research has identified great diversity in literacy skills among DHH adults, and prior computing accessibility research has identified benefits from providing ATS-based reading assistance to other user groups. Thus, while ATS holds promise to benefit DHH adults, little research has investigated the benefits from, interests in and preferences for such technologies among DHH adults. Thus, this work aims to investigate the use of ATS-based reading assistance to support DHH adult readers. This dissertation is organized in three parts centered around three major contributions: requirement- and interest-gathering, methodological research, and design and evaluation work. Part I of this dissertation focuses on the requirements and interests of DHH adults on ATS-based reading assistance tools. As a relatively new technology, it is still unknown whether DHH adults would be interested in such technologies, what purposes they would be interested in them for, and what personal or technical characteristics may affect their interests. Furthermore, with various approaches to ATS available (e.g. lexical or syntactic approaches), it is unknown which ones would be of interest and/or benefit to DHH adults. Thus, we first explore perspective of DHH adults on ATS-based reading assistance tools. Then, Part II of this dissertation focuses on methodological work on how to evaluate the output of ATS technologies with DHH adults. Prior work on the evaluation of linguistic technologies has identified challenges when evaluating their technologies among DHH adults with varying literacy skill levels. However, it remains unknown if such challenges are also present when evaluating the output of ATS systems among DHH adults. Considering that there are various aspects of the output to evaluate, including its complexity or readability, and its overall quality or fluency, we investigate which metrics can reliably evaluate those characteristics of ATS output among this user group. After establishing interests and evaluation methods for various characteristics of simplified texts, Part III of this dissertation focuses on the design of these tools, and includes evaluations of such tools with DHH adults. We first investigate an exploration of the design space to identify which configurations of the various design parameters may provide more usability to DHH adults, and to understand the rational for their preferences. Using the preferred settings identified, we then conduct an evaluation to investigate the DHH users' preferences and interactions with a system that provides the various capabilities of ATS technologies using realistic output from existing systems."--Abstract.


Text as Data

Text as Data

Author: Justin Grimmer

Publisher: Princeton University Press

Published: 2022-03-29

Total Pages: 360

ISBN-13: 0691207550

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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


Book Synopsis Text as Data by : Justin Grimmer

Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Automatic Text Summarization

Advances in Automatic Text Summarization

Author: Inderjeet Mani

Publisher: MIT Press

Published: 1999

Total Pages: 464

ISBN-13: 9780262133593

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ntil now there has been no state-of-the-art collection of themost important writings in automatic text summarization. This bookpresents the key developments in the field in an integrated frameworkand suggests future research areas. With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas. The book is organized into six sections: Classical Approaches, Corpus-Based Approaches, Exploiting Discourse Structure, Knowledge-Rich Approaches, Evaluation Methods, and New Summarization Problem Areas. Contributors D. A. Adams, C. Aone, R. Barzilay, E. Bloedorn, B. Boguraev, R. Brandow, C. Buckley, F. Chen, M. J. Chrzanowski, H. P. Edmundson, M. Elhadad, T. Firmin, R. P. Futrelle, J. Gorlinsky, U. Hahn, E. Hovy, D. Jang, K. Sparck Jones, G. M. Kasper, C. Kennedy, K. Kukich, J. Kupiec, B. Larsen, W. G. Lehnert, C. Lin, H. P. Luhn, I. Mani, D. Marcu, M. Maybury, K. McKeown, A. Merlino, M. Mitra, K. Mitze, M. Moens, A. H. Morris, S. H. Myaeng, M. E. Okurowski, J. Pedersen, J. J. Pollock, D. R. Radev, G. J. Rath, L. F. Rau, U. Reimer, A. Resnick, J. Robin, G. Salton, T. R. Savage, A. Singhal, G. Stein, T. Strzalkowski, S. Teufel, J. Wang, B. Wise, A. Zamora


Book Synopsis Advances in Automatic Text Summarization by : Inderjeet Mani

Download or read book Advances in Automatic Text Summarization written by Inderjeet Mani and published by MIT Press. This book was released on 1999 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: ntil now there has been no state-of-the-art collection of themost important writings in automatic text summarization. This bookpresents the key developments in the field in an integrated frameworkand suggests future research areas. With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Until now there has been no state-of-the-art collection of the most important writings in automatic text summarization. This book presents the key developments in the field in an integrated framework and suggests future research areas. The book is organized into six sections: Classical Approaches, Corpus-Based Approaches, Exploiting Discourse Structure, Knowledge-Rich Approaches, Evaluation Methods, and New Summarization Problem Areas. Contributors D. A. Adams, C. Aone, R. Barzilay, E. Bloedorn, B. Boguraev, R. Brandow, C. Buckley, F. Chen, M. J. Chrzanowski, H. P. Edmundson, M. Elhadad, T. Firmin, R. P. Futrelle, J. Gorlinsky, U. Hahn, E. Hovy, D. Jang, K. Sparck Jones, G. M. Kasper, C. Kennedy, K. Kukich, J. Kupiec, B. Larsen, W. G. Lehnert, C. Lin, H. P. Luhn, I. Mani, D. Marcu, M. Maybury, K. McKeown, A. Merlino, M. Mitra, K. Mitze, M. Moens, A. H. Morris, S. H. Myaeng, M. E. Okurowski, J. Pedersen, J. J. Pollock, D. R. Radev, G. J. Rath, L. F. Rau, U. Reimer, A. Resnick, J. Robin, G. Salton, T. R. Savage, A. Singhal, G. Stein, T. Strzalkowski, S. Teufel, J. Wang, B. Wise, A. Zamora


Advances in Power Systems and Energy Management

Advances in Power Systems and Energy Management

Author: Neeraj Priyadarshi

Publisher: Springer Nature

Published: 2021-01-20

Total Pages: 671

ISBN-13: 9811575045

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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.


Book Synopsis Advances in Power Systems and Energy Management by : Neeraj Priyadarshi

Download or read book Advances in Power Systems and Energy Management written by Neeraj Priyadarshi and published by Springer Nature. This book was released on 2021-01-20 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Recent Advances in Automatic Readability Assessment and Text Simplification

Recent Advances in Automatic Readability Assessment and Text Simplification

Author: Thomas François

Publisher:

Published: 2014

Total Pages: 6

ISBN-13:

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Book Synopsis Recent Advances in Automatic Readability Assessment and Text Simplification by : Thomas François

Download or read book Recent Advances in Automatic Readability Assessment and Text Simplification written by Thomas François and published by . This book was released on 2014 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Simple and Simplified Languages

Simple and Simplified Languages

Author: Andras Kornai

Publisher: Frontiers Media SA

Published: 2022-05-26

Total Pages: 146

ISBN-13: 2889762394

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Book Synopsis Simple and Simplified Languages by : Andras Kornai

Download or read book Simple and Simplified Languages written by Andras Kornai and published by Frontiers Media SA. This book was released on 2022-05-26 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: