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From Extractive to Abstractive Summarization: A Journey, Parth Mehta; Prasenjit Majumder


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Автор: Parth Mehta; Prasenjit Majumder
Название:  From Extractive to Abstractive Summarization: A Journey
ISBN: 9789811389337
Издательство: Springer
Классификация:



ISBN-10: 9811389330
Обложка/Формат: Hardcover
Страницы: 116
Вес: 0.40 кг.
Дата издания: 2019
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 9 illustrations, color; 461 illustrations, black and white; xi, 116 p. 470 illus., 9 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
This book describes recent advances in text summarization, identifies remaining gaps and challenges, and proposes ways to overcome them. It begins with one of the most frequently discussed topics in text summarization – ‘sentence extraction’ –, examines the effectiveness of current techniques in domain-specific text summarization, and proposes several improvements.
In turn, the book describes the application of summarization in the legal and scientific domains, describing two new corpora that consist of more than 100 thousand court judgments and more than 20 thousand scientific articles, with the corresponding manually written summaries. The availability of these large-scale corpora opens up the possibility of using the now popular data-driven approaches based on deep learning. The book then highlights the effectiveness of neural sentence extraction approaches, which perform just as well as rule-based approaches, but without the need for any manual annotation. As a next step, multiple techniques for creating ensembles of sentence extractors – which deliver better and more robust summaries – are proposed. In closing, the book presents a neural network-based model for sentence compression. Overall the book takes readers on a journey that begins with simple sentence extraction and ends in abstractive summarization, while also covering key topics like ensemble techniques and domain-specific summarization, which have not been explored in detail prior to this.

Дополнительное описание: Introduction.-Related Work.- Corpora and Evaluation for Text Summarization.- Domain Speci?c Summarization.- Improving sentence extraction through rank aggregation.- Leveraging content similarity in summaries for generating better ensembles.-Neural model



Multi-source, Multilingual Information Extraction and Summarization

Автор: Thierry Poibeau; Horacio Saggion; Jakub Piskorski;
Название: Multi-source, Multilingual Information Extraction and Summarization
ISBN: 3642430902 ISBN-13(EAN): 9783642430909
Издательство: Springer
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Цена: 13270.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form.

Innovative Document Summarization Techniques

Автор: Fiori
Название: Innovative Document Summarization Techniques
ISBN: 1466650192 ISBN-13(EAN): 9781466650190
Издательство: Mare Nostrum (Eurospan)
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Цена: 25502.00 р.
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Описание: The prevalence of digital documentation presents some pressing concerns for efficient information retrieval in the modern age. Readers want to be able to access the information they desire without having to search through a mountain of unrelated data, so algorithms and methods for effectively seeking out pertinent information are of critical importance.Innovative Document Summarization Techniques: Revolutionizing Knowledge Understanding evaluates some of the existing approaches to information retrieval and summarisation of digital documents, as well as current research and future developments. This book serves as a sounding board for students, educators, researchers and practitioners of information technology, advancing the ongoing discussion of communication in the digital age.

Trends and Applications of Text Summarization Techniques

Автор: Alessandro Fiori
Название: Trends and Applications of Text Summarization Techniques
ISBN: 1522593748 ISBN-13(EAN): 9781522593744
Издательство: Mare Nostrum (Eurospan)
Цена: 23423.00 р.
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Описание: While the availability of electronic documents increases exponentially with advancing technology, the time spent to process this wealth of resourceful information decreases. Content analysis and information extraction must be aided by summarization methods to quickly parcel pieces of interest and allow for succinct user familiarization in a simple, efficient manner. Trends and Applications of Text Summarization Techniques is a pivotal reference source that explores the latest approaches of document summarization including update, multi-lingual, and domain-oriented summarization tasks and examines their current real-world applications in multiple fields. Featuring coverage on a wide range of topics such as parallel construction, social network integration, and evaluation metrics, this book is ideally designed for information technology practitioners, computer scientists, bioinformatics analysts, business managers, healthcare professionals, academicians, researchers, and students.

Trends and Applications of Text Summarization Techniques

Автор: Alessandro Fiori
Название: Trends and Applications of Text Summarization Techniques
ISBN: 152259373X ISBN-13(EAN): 9781522593737
Издательство: Mare Nostrum (Eurospan)
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Цена: 28274.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: While the availability of electronic documents increases exponentially with advancing technology, the time spent to process this wealth of resourceful information decreases. Content analysis and information extraction must be aided by summarization methods to quickly parcel pieces of interest and allow for succinct user familiarization in a simple, efficient manner.

Trends and Applications of Text Summarization Techniques is a pivotal reference source that explores the latest approaches of document summarization including update, multi-lingual, and domain-oriented summarization tasks and examines their current real-world applications in multiple fields. Featuring coverage on a wide range of topics such as parallel construction, social network integration, and evaluation metrics, this book is ideally designed for information technology practitioners, computer scientists, bioinformatics analysts, business managers, healthcare professionals, academicians, researchers, and students.


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