Investigating subspace distances in semantic spaces


Autoria(s): Zuccon, Guido; Gasco, Enrico
Contribuinte(s)

Melucci, Massimo

Mizzaro, Stefano

Pasi, Gabriella

Data(s)

2011

Resumo

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.

Identificador

http://eprints.qut.edu.au/72234/

Publicador

CEUR Workshop Proceedings

Relação

http://ceur-ws.org/Vol-704/8.pdf

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.

Direitos

Copyright 2011 [please consult the author]

Fonte

School of Information Systems; Science & Engineering Faculty

Palavras-Chave #Semantic space #Information retrieval
Tipo

Conference Paper