Investigating subspace distances in semantic spaces

G. Zuccon, L. Azzopardi, E. Gasco

Research output: Contribution to journalConference articlepeer-review

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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.

Original languageEnglish
Number of pages4
JournalCEUR Workshop Proceedings
Volume704
Publication statusPublished - 3 Mar 2011
Event2nd Italian Information Retrieval Workshop, IIR 2011 - Milan, Italy
Duration: 27 Jan 201128 Jan 2011

Keywords

  • semantic space
  • HAL model

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