Jonathan rojas simon (28 Ergebnisse)
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Hardcover. Zustand: new. Hardcover. 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. This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Rojas-simon, Jonathan; Ledeneva, Yulia; Garcia-hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Rojas-simon, Jonathan; Ledeneva, Yulia; Garcia-hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics (Studies in Computational Intelligence, 1048)
Rojas-Simon, Jonathan; Ledeneva, Yulia; Garcia-Hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics (Studies in Computational Intelligence)
Rojas-Simon, Jonathan; Ledeneva, Yulia; Garcia-Hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Rojas-simon, Jonathan; Ledeneva, Yulia; Garcia-hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics (Studies in Computational Intelligence, 1048)
Rojas-Simon, Jonathan; Ledeneva, Yulia; Garcia-Hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Rojas-simon, Jonathan; Ledeneva, Yulia; Garcia-hernandez, Rene Arnulfo
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Weitere Bilder- Softcover
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Taschenbuch. Zustand: Neu. Evaluation of Text Summaries Based on Linear Optimization of Content Metrics | Jonathan Rojas-Simon (u. a.) | Taschenbuch | xv | Englisch | 2023 | Springer | EAN 9783031072161 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springe…r[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: 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. Aft…erward, 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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Buch. Zustand: 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.
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics: 1048 (Studies in Computational Intelligence, 1048)
Rojas-Simon, Jonathan/ Ledeneva, Yulia/ Garcia-Hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Rojas-simon, Jonathan/ Ledeneva, Yulia/ Garcia-hernandez, Rene Arnulfo
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Hardcover. Zustand: new. Hardcover. 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. This book provides a comprehensive discussion and new insights about linear optimization of content metrics to improve the automatic Evaluation of Text Summaries (ETS). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Rojas-simon, Jonathan/ Ledeneva, Yulia/ Garcia-hernandez, Rene Arnulfo
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Taschenbuch. Zustand: 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.
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Buch. Zustand: 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.
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
Jonathan Rojas-Simon|Yulia Ledeneva|Rene Arnulfo Garcia-Hernandez
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Zustand: 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.
Evaluation of Text Summaries based on Linear Optimization of Content Metrics
Rojas-Simon, Jonathan|Ledeneva, Yulia|Garcia-Hernandez, Rene Arnulfo
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Springer 2022
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Gebunden. Zustand: 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 ba…ckground and fundamentals of the ETS. Afterwa.
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Taschenbuch. Zustand: 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 KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.
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Buch. Zustand: 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 KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics: 1048 (Studies in Computational Intelligence, 1048)
Rojas-Simon, Jonathan; Ledeneva, Yulia; Garcia-Hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optim
Rojas-Simon, Jonathan; Ledeneva, Yulia; Garcia-Hernandez, Rene Arnulfo
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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics: 1048 (Studies in Computational Intelligence, 1048)
Rojas-Simon, Jonathan; Ledeneva, Yulia; Garcia-Hernandez, Rene Arnulfo
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