Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
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Sprache:Englisch
Fr. 191.00
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
20.08.2023
Verlag
SpringerSeitenzahl
213
Maße (L/B/H)
23.5/15.5/1.3 cm
Gewicht
359 g
Auflage
1st ed. 2022
Sprache
Englisch
ISBN
978-3-031-07216-1
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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