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001			393760
003			ES-MaUEC
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007			cr nn 008mamaa
008			220818s2022 sz | s |||| 0|eng d
020			_a9783031072147
024	7		_a10.1007/978-3-031-07214-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aRojas-Simon, Jonathan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aEvaluation of Text Summaries Based on Linear Optimization of Content Metrics _cby Jonathan Rojas-Simon, Yulia Ledeneva, Rene Arnulfo Garcia-Hernandez
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 213 páginas) _b57 ilustraciones, 11 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v1048
505	0		_aIntroduction -- Background of the ETS -- Fundamentals of the ETS -- State-of-the-art Automatic Evaluation Methods -- A Novel Methodology based on Linear Optimization of Metrics for the ETS -- Experimenting with Linear Optimization of Metrics for Single-document Summarization Evaluation -- Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation -- Conclusions and future considerations for the ETS.
520			_aThis 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.
700	1		_aLedeneva, Yulia _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aGarcia-Hernandez, Rene Arnulfo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783031072130
776	0	8	_iPrinted edition: _z9783031072154
776	0	8	_iPrinted edition: _z9783031072161
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-07214-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c393760 _d393760