Synopsis
This book describes recent advances in text summarization, identifies remaining gaps and challenges, and proposes ways to overcome them.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Parth Mehta completed his M.Tech. in Machine Intelligence and his Ph.D. in Text Summarization at Dhirubhai Ambani Institute of ICT (DA-IICT), Gandhinagar, India. At the DA-IICT he was part of the Information Retrieval and Natural Language Processing Lab. He was also involved in the national project "Cross Lingual Information Access", funded by the Govt. of India, which focused on building a cross-lingual search engine for nine Indian languages. Dr. Mehta has served as reviewer for the journals Information Processing and Management and Forum for Information Retrieval Evaluation. Apart from several journal and conference papers, he has also co-edited a book on text processing published by Springer. Prof. Prasenjit Majumder is an Associate Professor at Dhirubhai Ambani Institute of ICT (DA-IICT), Gandhinagar and a Visiting Professor at the Indian Institute of Information Technology, Vadodara (IIIT-V). Prof. Majumder completed his Ph.D. at JadavpurUniversity in 2008 and worked as a postdoctoral fellow at the University College Dublin, prior to joining the DA-IICT, where he currently heads the Information Retrieval and Language Processing Lab. His research interests lie at the intersection of Information Retrieval, Cognitive Science and Human Computing Interaction. He has headed several projects sponsored by the Govt. of India. He is one of the pioneers of the Forum for Information Retrieval Evaluation (FIRE), which assesses research on Information Retrieval and related areas for South Asian languages. Since being founded in 2008, FIRE has grown to become a respected conference, drawing participants from across the globe. Prof. Majumder has authored several journal and conference papers, and co-edited two special issues of Transactions in Information Systems (ACM). He has co-edited two books: 'Multi Lingual Information Access in South Asian Languages' and 'Text Processing, ' both published by Springer.
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From Extractive to Abstractive Summarization: A Journey.
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Singapore, Springer., 2019
ISBN 10 : 9811389330
ISBN 13 : 9789811389337
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From Extractive to Abstractive Summarization: A Journey
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 128 pp. Englisch. N° de réf. du vendeur 9789811389337
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From Extractive to Abstractive Summarization: A Journey
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an overview of the transition from extractive to abstractive summarization and how they can be combined to create a practical summarization systemCovers in detail ways to build ensembles from several existing techniquesPlaces speci. N° de réf. du vendeur 289921204
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Buch. Etat : Neu. From Extractive to Abstractive Summarization: A Journey | Parth Mehta (u. a.) | Buch | xi | Englisch | 2019 | Springer | EAN 9789811389337 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 116559597
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From Extractive to Abstractive Summarization: A Journey
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Springer, Springer Aug 2019, 2019
ISBN 10 : 9811389330
ISBN 13 : 9789811389337
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch. N° de réf. du vendeur 9789811389337
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From Extractive to Abstractive Summarization: A Journey
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ISBN 13 : 9789811389337
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9789811389337
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