Corpus Minimization
Corpus Minimization is a fuzz testing technique that reduces the size of an input corpus by eliminating redundant test cases while preserving coverage and fault-detection capability.
12
Publications
538
Citations
27
Authors
14
Institutions
Publications per year
2017–2026
4
Parents
12
SemEval-2018 Task 3: Irony Detection in English Tweets
Cynthia Van Hee, Els Lefever, Véronique Hoste · 2018 · 293 citations · Full text
Computing, Computer Science, English +17
Sample selection for statistical grammar induction
Rebecca Hwa · 2000 · 69 citations · Full text
Language Studies, Computer Science, Computational Linguistics +14
SkELL: Web Interface for English Language Learning
Vít Baisa, Vít Suchomel · RASLAN · 2014 · 42 citations
Language Studies, Computer Science, Educational Technology +17
On minimizing training corpus for parser acquisition
Rebecca Hwa · 2001 · 26 citations · Full text
Corpus Support for Machine Translation at LDC
Xiaoyi Ma, Christopher Cieri · 2006 · 22 citations · Full text
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14
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
22 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
69 citations
KU Leuven
Leuven, Belgium
1 h-index
2 publications
24 citations
Thomson Reuters (United States)
New York, United States
1 h-index
1 publications
15 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
30 citations
Asahi Kasei (Germany)
Düsseldorf, Germany
1 h-index
2 publications
24 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
26 citations
Lancaster University
Lancaster, United Kingdom
1 h-index
1 publications
10 citations
1–8 of 14
1 publications · 42 citations
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Repository · 1 publications · 12 citations
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Repository · 1 publications · 12 citations
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