Investigating text power in predicting semantic similarity

<p>This article presents an empirical evaluation to investigate the distributional semantic power of abstract, body and full-text, as different text levels, in predicting the semantic similarity using a collection of open access articles from PubMed. The semantic similarity is measured based on two...

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Opis bibliograficzny

Główni autorzy:	Zahra Yousefi, Hajar Sotudeh, Mahdieh Mirzabeigi, Seyed Mostafa Fakhrahmad, Alireza Nikseresht, Mehdi Mohammadi
Format:	Artigo
Język:	Inglês
Wydane:	Regional Information Center for Science and Technology (RICeST) 2019-01-01
Seria:	International Journal of Information Science and Management
Hasła przedmiotowe:	distributional semantics semantic similarity textual similarity effectiveness information retrieval mesh
Dostęp online:	https://ijism.ricest.ac.ir/index.php/ijism/article/view/1297
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