NMF-based approach to automatic term extraction

•5 Different NMF algorithms with different parameters are compared.•Kullback-Leibler NMF requiring the stationarity of objective value is the best.•The performance of NMF algorithms depends on a corpus imbalance.•NMF outperforms 4 from 6 baseline methods and second only to deep learning methods. Thi...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 199; p. 117179
Main Authors:	Nugumanova, Aliya, Akhmed-Zaki, Darkhan, Mansurova, Madina, Baiburin, Yerzhan, Maulit, Almasbek
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.08.2022 Elsevier BV
Subjects:	ACTER dataset Algorithms Annotations Automatic term extraction Documents Domains NMF Probabilistic topic modeling TermEval shared task Unsupervised term extraction ACTER dataset Unsupervised term extraction Probabilistic topic modeling Automatic term extraction NMF TermEval shared task
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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