Summary Evaluation Metrics is a standardized methodological construct used to quantitatively or qualitatively assess the quality, accuracy, relevance, and comprehensiveness of a summary by comparing it against reference summaries or predefined criteria within the field of natural language processing and academic writing assessment.
113
Publications
7.8K
Citations
340
Authors
170
Institutions
Publications per year
2017–2026
56
Parents
Publications
113
What accuracy statistics really measure
Barbara Kitchenham, Lesley M. Pickard, Stephen G. MacDonell et al. · IEE Proceedings - Software · 2001 · 439 citations · Full text
1–5 of 113
Authors
340
- DR
6
h-index
- DD
6
h-index
- JM
5
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- PA
4
h-index
- RN
3
h-index
1–5 of 340
Institutions
170
University of Pennsylvania
Philadelphia, United States
5 h-index
10 publications
714 citations
California University of Pennsylvania
California, United States
5 h-index
11 publications
557 citations
University of Maryland, College Park
College Park, United States
5 h-index
10 publications
296 citations
Riverside Technology (United States)
Fort Collins, United States
4 h-index
6 publications
154 citations
Stanford University
Stanford, United States
4 h-index
11 publications
494 citations
Technische Universität Darmstadt
Darmstadt, Germany
4 h-index
6 publications
358 citations
University of Miami
Coral Gables, United States
3 h-index
4 publications
72 citations
NOAA Center for Satellite Applications and Research
College Park, United States
3 h-index
11 publications
177 citations
1–8 of 170
Venues
- arXiv (Cornell University)
Repository · 6 publications · 217 citations
6
h-index
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
2 publications · 55 citations
2
h-index
- Transactions of the Association for Computational Linguistics
TACL · 2 publications · 109 citations
2
h-index
- Theory and applications of categories
TAC · 2 publications · 58 citations
2
h-index
- PubMed
Repository · 1 publications · 16 citations
1
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