Evaluation of Text Summaries Based on Linear Optimization of Content Metrics
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 r...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2022, 2022
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| Edition: | 1st ed. 2022 |
| Series: | Studies in Computational Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- 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.