Edité par Springer International Publishing, 2022
ISBN 10 : 3031072138 ISBN 13 : 9783031072130
Langue: anglais
Vendeur : Buchpark, Trebbin, Allemagne
EUR 111,51
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Seiten: 232 | Sprache: Englisch | Produktart: Bücher.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 158,04
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Ajouter au panierEtat : New. In.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 158,04
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Ajouter au panierEtat : New. In.
Edité par Springer International Publishing, 2022
ISBN 10 : 3031072138 ISBN 13 : 9783031072130
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 160,49
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.
Edité par Springer International Publishing, 2023
ISBN 10 : 3031072162 ISBN 13 : 9783031072161
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 160,49
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 199,32
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Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 199,32
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Ajouter au panierEtat : New.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 161,74
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Ajouter au panierEtat : New.
EUR 230,37
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Ajouter au panierEtat : New. pp. 232.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 238,92
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Ajouter au panierPaperback. Etat : Brand New. 228 pages. 9.25x6.10x0.49 inches. In Stock.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 240,98
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Ajouter au panierHardcover. Etat : Brand New. 228 pages. 9.25x6.10x0.56 inches. In Stock.
Edité par Springer International Publishing, 2023
ISBN 10 : 3031072162 ISBN 13 : 9783031072161
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 137,26
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Ajouter au panierKartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the reader to the background and fundamentals of the Evaluation of Text Summaries (ETS)Provides state-of-the-art studies and new methodologies for improving the ETSShows the design of experiments that combine evaluation metrics f.
Edité par Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10 : 3031072138 ISBN 13 : 9783031072130
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 137,26
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Ajouter au panierGebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterwa.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 159,48
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Ajouter au panierHardcover. Etat : Brand New. 228 pages. 9.25x6.10x0.56 inches. In Stock. This item is printed on demand.
Edité par Springer International Publishing Aug 2023, 2023
ISBN 10 : 3031072162 ISBN 13 : 9783031072161
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth. 232 pp. Englisch.
Edité par Springer International Publishing Aug 2022, 2022
ISBN 10 : 3031072138 ISBN 13 : 9783031072130
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 160,49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). The reader is first introduced to the background and fundamentals of the ETS. Afterward, state-of-the-art evaluation methods that require or do not require human references are described. Based on how linear optimization has improved other natural language processing tasks, we developed a new methodology based on genetic algorithms that optimize content metrics linearly. Under this optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration of directions in which automatic evaluation could be improved in the future. The information provided in this book is self-contained. Therefore, the reader does not require an exhaustive background in this area. Moreover, we consider this book the first one that deals with the ETS in depth. 232 pp. Englisch.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 247,23
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND pp. 232.