Supervised Morphological Segmentation
Supervised Morphological Segmentation is a morphological segmentation approach that belongs to the class of supervised learning methods, distinguished by its reliance on labeled training data to learn mappings from raw words to their constituent morphemes through explicit examples of correct segmentations.
15
Publications
859
Citations
46
Authors
20
Institutions
Publications per year
2017–2026
6
Parents
15
Multi-viewpoint Coronal Mass Ejection Catalog Based on STEREO COR2 Observations
A. Vourlidas, L. Balmaceda, G. Stenborg et al. · The Astrophysical Journal · 2017 · 97 citations · Full text
Natural Sciences, Astronomy, Physics +13
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Instituto Nacional de Pesquisas Espaciais
São José dos Campos, Brazil
2 h-index
3 publications
235 citations

Johns Hopkins University Applied Physics Laboratory
North Laurel, United States
2 h-index
2 publications
138 citations

University of Trento
Trento, Italy
2 h-index
2 publications
138 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
205 citations

United States Naval Research Laboratory
Washington, United States
2 h-index
2 publications
138 citations
Fondazione Bruno Kessler
Trento, Italy
2 h-index
8 publications
552 citations
George Mason University
Fairfax, United States
1 h-index
1 publications
41 citations
Université Ibn-Tofail
Kenitra, Morocco
1 h-index
3 publications
84 citations
1–8 of 20
ApJ · 2 publications · 138 citations
2
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MICPRO · 1 publications · 11 citations
1
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1 publications · 29 citations
1
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1 publications · 13 citations
1
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GRSL · 1 publications · 39 citations
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