It takes the average reader 3 hours and 43 minutes to read Evaluation of Text Summaries Based on Linear Optimization of Content Metrics by Jonathan Rojas-Simon
Assuming a reading speed of 250 words per minute. Learn more
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.
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics by Jonathan Rojas-Simon is 222 pages long, and a total of 55,944 words.
This makes it 75% the length of the average book. It also has 68% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 5 minutes to read Evaluation of Text Summaries Based on Linear Optimization of Content Metrics aloud.
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics is suitable for students ages 12 and up.
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