| 书目名称 | Evaluation of Text Summaries Based on Linear Optimization of Content Metrics |
| 编辑 | Jonathan Rojas-Simon,Yulia Ledeneva,Rene Arnulfo G |
| 视频video | http://file.papertrans.cn/318/317354/317354.mp4 |
| 概述 | 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 ETS.Shows the design of exp |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2022 |
| 关键词 | Automatic Text Summarization (ATS); Natural Language Generation Tasks; Evaluation of Text Summaries (E |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-07214-7 |
| isbn_softcover | 978-3-031-07216-1 |
| isbn_ebook | 978-3-031-07214-7Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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