標題: Titlebook: Evaluation of Text Summaries Based on Linear Optimization of Content Metrics; Jonathan Rojas-Simon,Yulia Ledeneva,Rene Arnulfo G Book 2022 [打印本頁] 作者: Harrison 時間: 2025-3-21 18:08
書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics影響因子(影響力)
書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics影響因子(影響力)學(xué)科排名
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書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics被引頻次
書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics被引頻次學(xué)科排名
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書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics年度引用學(xué)科排名
書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics讀者反饋
書目名稱Evaluation of Text Summaries Based on Linear Optimization of Content Metrics讀者反饋學(xué)科排名
作者: 排斥 時間: 2025-3-21 22:25 作者: FOLLY 時間: 2025-3-22 03:46 作者: 思考而得 時間: 2025-3-22 05:09 作者: 不確定 時間: 2025-3-22 11:06 作者: 矛盾心理 時間: 2025-3-22 14:15 作者: 矛盾心理 時間: 2025-3-22 18:20
https://doi.org/10.1007/978-3-322-85220-5ave described and?provided experimental evidence that linear optimization improves the ETS. In addition, we present a description of new considerations and perspectives that will address the ETS in the future.作者: lethargy 時間: 2025-3-23 00:39 作者: 贊成你 時間: 2025-3-23 03:30 作者: 通知 時間: 2025-3-23 08:46 作者: 飛鏢 時間: 2025-3-23 11:25
State-of-the-art Automatic Evaluation Methods, of summaries.?This chapter explores the different state-of-the-art evaluation methods that evaluate summaries with or without human references. Moreover, it describes two novel alternatives related to the optimization of content metrics to improve automatic evaluation.作者: Vital-Signs 時間: 2025-3-23 15:39 作者: 六邊形 時間: 2025-3-23 19:52 作者: Synchronism 時間: 2025-3-24 01:13 作者: Vasodilation 時間: 2025-3-24 03:17
Theorie sozialer Systeme (Luhmann),ic Algorithm (GA), we propose combining and optimizing the degree of relevance of 27 individual metrics derived from ROUGE-C. LSA, and SIMetrix, whose output metric (called SECO-SEVA) seeks to best approximate human judgments. For this, we conducted experiments in DUC01 and DUC02 datasets, obtaining competitive results to state-of-the-art methods.作者: filicide 時間: 2025-3-24 09:01 作者: Hiatus 時間: 2025-3-24 11:06
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 to perform linear optimization of metrics.作者: nutrition 時間: 2025-3-24 16:03
Experimenting with Linear Optimization of Metrics for Multi-document Summarization Evaluation,ic Algorithm (GA), we propose combining and optimizing the degree of relevance of 27 individual metrics derived from ROUGE-C. LSA, and SIMetrix, whose output metric (called SECO-SEVA) seeks to best approximate human judgments. For this, we conducted experiments in DUC01 and DUC02 datasets, obtaining competitive results to state-of-the-art methods.作者: 拱形大橋 時間: 2025-3-24 19:24
Jonathan Rojas-Simon,Yulia Ledeneva,Rene Arnulfo GIntroduces the reader to the background and fundamentals of the Evaluation of Text Summaries (ETS).Provides state-of-the-art studies and new methodologies for improving the ETS.Shows the design of exp作者: botany 時間: 2025-3-25 02:40
Studies in Computational Intelligencehttp://image.papertrans.cn/e/image/317354.jpg作者: 泰然自若 時間: 2025-3-25 07:20
https://doi.org/10.1007/978-3-322-84277-0In Chap. ., we have described the stages of the proposed methodology to perform linear optimization. However, experimenting with such stages is necessary to demonstrate its improvements over automatic evaluation.?This chapter outlines the experiments of linear optimization of content metrics in Single-Document Summarization Evaluation.作者: 駭人 時間: 2025-3-25 08:22
Experimenting with Linear Optimization of Metrics for Single-Document Summarization Evaluation,In Chap. ., we have described the stages of the proposed methodology to perform linear optimization. However, experimenting with such stages is necessary to demonstrate its improvements over automatic evaluation.?This chapter outlines the experiments of linear optimization of content metrics in Single-Document Summarization Evaluation.作者: 牢騷 時間: 2025-3-25 15:18
,Sichtbarmachung von Str?mungen, information management has enabled knowledge accessibility to Internet users, its proliferation causes information overload that has been addressed by Automatic Text Summarization (ATS). Within ATS, the Evaluation of Text Summaries (ETS) is crucial to determine the performance of proposed ATS metho作者: 臆斷 時間: 2025-3-25 15:54
,Sichtbarmachung von Str?mungen,ATS). Over the last six decades, several studies have been carried out, proposing computerized methods that extract the most important information from text documents in the form of summaries. However, the ATS goes in hand with the Evaluation of Text Summaries (ETS) because we can measure the effect作者: GLUE 時間: 2025-3-25 22:09
Einführung in die technische Str?mungslehres and ideas in general.?In addition, we outline the general process of automatic evaluation, describing ROUGE as one of the most used methods in the state-of-the-art. Finally, we present the Genetic Algorithm (GA) to introduce some concepts and ideas behind linear optimization.作者: Compass 時間: 2025-3-26 00:25
Einführung in die technische Thermodynamikrms of robustness and efficacy. In the context of Automatic Text Summarization (ATS), proposed methods are evaluated depending on how well they can produce informative, coherent, readable, responsive, and non-redundant summaries. Therefore, such methods are focused on linguistic and content analysis作者: 意外的成功 時間: 2025-3-26 05:30
,Der station?re elektrische Strom,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作者: 政府 時間: 2025-3-26 10:28
Alfred Schmidt,Oliver Deussen,Marion Kreeb 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 作者: Forehead-Lift 時間: 2025-3-26 14:16 作者: bisphosphonate 時間: 2025-3-26 16:58
https://doi.org/10.1007/978-3-322-85220-5antify how good/bad a summary is.?In this chapter, we present the conclusions about the challenges of the ETS task developed in the book. Our principal hypothesis was that linear optimization con metrics might improve the correlation between automatic and manual evaluation. To demonstrate this, we h作者: 有常識 時間: 2025-3-27 00:54
https://doi.org/10.1007/978-3-031-07214-7Automatic Text Summarization (ATS); Natural Language Generation Tasks; Evaluation of Text Summaries (E作者: 溫和女孩 時間: 2025-3-27 01:31
978-3-031-07216-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 修飾語 時間: 2025-3-27 06:39
Evaluation of Text Summaries Based on Linear Optimization of Content Metrics978-3-031-07214-7Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: defendant 時間: 2025-3-27 10:35 作者: 使厭惡 時間: 2025-3-27 15:17 作者: Inordinate 時間: 2025-3-27 19:45 作者: Cervical-Spine 時間: 2025-3-27 23:22 作者: 混合物 時間: 2025-3-28 03:45
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作者: Consensus 時間: 2025-3-28 08:50
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 作者: Expertise 時間: 2025-3-28 13:00 作者: tolerance 時間: 2025-3-28 16:40
Conclusions and Future Considerations for the ETS,antify how good/bad a summary is.?In this chapter, we present the conclusions about the challenges of the ETS task developed in the book. Our principal hypothesis was that linear optimization con metrics might improve the correlation between automatic and manual evaluation. To demonstrate this, we h作者: 眉毛 時間: 2025-3-28 22:30 作者: 增長 時間: 2025-3-29 01:08 作者: Indebted 時間: 2025-3-29 04:16 作者: 敘述 時間: 2025-3-29 11:06
