有常识
发表于 2025-3-27 00:54:06
https://doi.org/10.1007/978-3-031-07214-7Automatic Text Summarization (ATS); Natural Language Generation Tasks; Evaluation of Text Summaries (E
温和女孩
发表于 2025-3-27 01:31:26
978-3-031-07216-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
修饰语
发表于 2025-3-27 06:39:19
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics978-3-031-07214-7Series ISSN 1860-949X Series E-ISSN 1860-9503
defendant
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使厌恶
发表于 2025-3-27 15:17:42
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Inordinate
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Cervical-Spine
发表于 2025-3-27 23:22:51
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混合物
发表于 2025-3-28 03:45:54
Linear Optimization for Solving Other NLP Tasks,ir use has achieved promising results, each measure is focused on capturing different aspects of each drug name/source code pair. In view of this situation, previous works have proposed linear optimization of similarity measures through Genetic Algorithms (GA). This chapter explores how linear optim
Consensus
发表于 2025-3-28 08:50:05
A Novel Methodology Based on Linear Optimization of Metrics for the ETS, how linear optimization has improved the performance of NLP tasks. Although we have covered several aspects of the ETS, it is necessary to describe how linear optimization is applied to enhance automatic evaluation. Therefore, this chapter presents a general description of the proposed methodology
Expertise
发表于 2025-3-28 13:00:39
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