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

Preview

Text. Filename: Zuccon_etal_CEUR2018_Investigating_subspace_distances_in_semantic_spaces.pdf Final Published Version Download (102kB)| Preview

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.

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Article
  ID code:	66447
  Dates:	Date Event 3 March 2011 Published
  Notes:	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:	09 Apr 2024 00:27
  Related URLs:	Scopus publication Journal or Publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/66447