Taschenbuch. Condici�n: 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. N� de ref. del art�culo: 9783031072161

Contactar al vendedor

Comprar nuevo

EUR 160,49

Convertir moneda

Gastos de env�o: EUR 23,00

De Alemania a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: 2 disponibles

A�adir al carrito

Imagen del vendedor

Evaluation of Text Summaries Based on Linear Optimization of Content Metrics

Jonathan Rojas-Simon|Yulia Ledeneva|Rene Arnulfo Garcia-Hernandez

Publicado por Springer International Publishing, 2023

ISBN 10: 3031072162 ISBN 13: 9783031072161

Nuevo Tapa blanda

Impresi�n bajo demanda

Librería: moluna, Greven, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: 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. N� de ref. del art�culo: 959198236

Contactar al vendedor

Comprar nuevo

EUR 136,16

Convertir moneda

Gastos de env�o: EUR 48,99

De Alemania a Estados Unidos de America

Destinos, gastos y plazos de env�o

Cantidad disponible: M�s de 20 disponibles

A�adir al carrito

Imagen del vendedor

Evaluation of Text Summaries Based on Linear Optimization of Content Metrics

Jonathan Rojas-Simon

Publicado por Springer International Publishing, 2023

ISBN 10: 3031072162 ISBN 13: 9783031072161

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Taschenbuch. Condici�n: 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. N� de ref. del art�culo: 9783031072161

Contactar al vendedor