Human Summarization Annotation
Human Summarization Annotation is a scholarly contribution in the field of text summarization that involves the manual creation, labeling, or refinement of summary content by human annotators to establish high-quality reference summaries or training data for evaluating or developing automated summarization systems.
13
Publications
366
Citations
49
Authors
19
Institutions
Publications per year
2017–2026
6
Parents
13
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Ori Shapira, David Gabay, Yang Gao et al. · 2019 · 48 citations · Full text
MeetingBank: A Benchmark Dataset for Meeting Summarization
Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy et al. · 2023 · 21 citations · Full text
1–5 of 13
49
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 49
19
Columbia University
New York, United States
2 h-index
4 publications
107 citations
University of Nottingham Ningbo China
Ningbo, China
1 h-index
3 publications
42 citations

University of Central Florida
Orlando, United States
1 h-index
3 publications
54 citations
University of North Carolina Health Care
Chapel Hill, United States
1 h-index
2 publications
96 citations
Allen Institute for Artificial Intelligence
Seattle, United States
1 h-index
4 publications
52 citations
Dongguan University of Technology
Dongguan, China
1 h-index
1 publications
12 citations

Bar-Ilan University
Ramat Gan, Israel
1 h-index
5 publications
240 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
100 citations
1–8 of 19
TSLP · 1 publications · 12 citations
1
h-index
Conference · 1 publications · 50 citations
1
h-index
Repository · 1 publications · 72 citations
1
h-index
1 publications · 50 citations
1
h-index
Conference · 1 publications · 18 citations
1
h-index
1–5