Titlebook: Evaluation of Text Summaries Based on Linear Optimization of Content Metrics; Jonathan Rojas-Simon,Yulia Ledeneva,Rene Arnulfo G Book 2022

有常識

https://doi.org/10.1007/978-3-031-07214-7Automatic Text Summarization (ATS); Natural Language Generation Tasks; Evaluation of Text Summaries (E

溫和女孩

978-3-031-07216-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

修飾語

Evaluation of Text Summaries Based on Linear Optimization of Content Metrics978-3-031-07214-7Series ISSN 1860-949X Series E-ISSN 1860-9503

defendant

使厭惡

Inordinate

Cervical-Spine

混合物

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

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