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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics: 1048 (Studies in Computational Intelligence) - Tapa blanda
Sinopsis
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.
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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.
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Publicado por
Springer International Publishing, 2023
ISBN 10: 3031072162
ISBN 13: 9783031072161
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Kartoniert / Broschiert
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Kartoniert / Broschiert. Condición: 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. Nº de ref. del artículo: 959198236
Cantidad disponible: Más de 20 disponibles
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics (Studies in Computational Intelligence)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Publicado por
Springer International Publishing Aug 2023, 2023
ISBN 10: 3031072162
ISBN 13: 9783031072161
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783031072161
Cantidad disponible: 2 disponibles
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Publicado por
Springer International Publishing, 2023
ISBN 10: 3031072162
ISBN 13: 9783031072161
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783031072161
Cantidad disponible: 1 disponibles
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Publicado por
Springer International Publishing, Springer Nature Switzerland Aug 2023, 2023
ISBN 10: 3031072162
ISBN 13: 9783031072161
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch. Nº de ref. del artículo: 9783031072161
Cantidad disponible: 1 disponibles
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics (Studies in Computational Intelligence)
Librería: California Books, Miami, FL, Estados Unidos de America
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Evaluation of Text Summaries Based on Linear Optim
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Condición: New. pp. 232. Nº de ref. del artículo: 26398548998
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Evaluation of Text Summaries Based on Linear Optim
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Condición: New. Print on Demand pp. 232. Nº de ref. del artículo: 397860825
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics: 1048 (Studies in Computational Intelligence, 1048)
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Paperback. Condición: Brand New. 228 pages. 9.25x6.10x0.49 inches. In Stock. Nº de ref. del artículo: x-3031072162
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Evaluation of Text Summaries Based on Linear Optim
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND pp. 232. Nº de ref. del artículo: 18398549004
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