Investigating subspace distances in semantic spaces
Zuccon, G. and Azzopardi, L. and Gasco, E. (2011) Investigating subspace distances in semantic spaces. CEUR Workshop Proceedings, 704. ISSN 1613-0073
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Abstract
Semantic space models of word meaning derived from co- occurrence statistics within a corpus of documents, such as the Hyper- space Analogous to Language (HAL) model, have been proposed in the past.While word similarity can be computed using these models, it is not clear how semantic spaces derived from different sets of documents can be compared. In this paper, we focus on this problem, and we revisit the proposal of using semantic subspace distance measurements [1]. In particular, we outline the research questions that still need to be addressed to investigate and validate these distance measures. Then, we describe our plans for future research.
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Item type: Article ID code: 66447 Dates: DateEvent3 March 2011PublishedNotes: Zuccon, G, Azzopardi, L & Gasco, E 2011, 'Investigating subspace distances in semantic spaces' CEUR Workshop Proceedings, vol. 704, online http://ceur-ws.org/Vol-704/8.pdf Subjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 21 Dec 2018 11:38 Last modified: 11 Nov 2024 12:11 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/66447