Evaluation of Text Summaries Based on Linear Optimization of Content Metrics is popular PDF and ePub book, written by Jonathan Rojas-Simon in 2022-08-18, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Evaluation of Text Summaries Based on Linear Optimization of Content Metrics can be Read Online from any device for your convenience.
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics Book PDF Summary
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.
Detail Book of Evaluation of Text Summaries Based on Linear Optimization of Content Metrics PDF
- Author : Jonathan Rojas-Simon
- Release : 18 August 2022
- Publisher : Springer Nature
- ISBN : 9783031072147
- Genre : Technology & Engineering
- Total Page : 222 pages
- Language : English
- PDF File Size : 16,5 Mb
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