Investigating subspace distances in semantic spaces

Zuccon, Guido & Gasco, Enrico (2011) Investigating subspace distances in semantic spaces. In Melucci, Massimo, Mizzaro, Stefano, & Pasi, Gabriella (Eds.) Proceedings of the 2nd Italian Information Retrieval (IIR) Workshop, CEUR Workshop Proceedings, Milan, Italy, pp. 1-4.

View at publisher (open access)


Semantic space models of word meaning derived from co-occurrence statistics within a corpus of documents, such as the Hyperspace 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.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 72234
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Semantic space, Information retrieval
ISSN: 1613-0073
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 [please consult the author]
Deposited On: 01 Jun 2014 23:14
Last Modified: 11 Jun 2014 06:25

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page