Investigating subspace distances in semantic spaces
Guido Zuccon, Leif A. Azzopardi, Enrico Gasco · QUT ePrints (Queensland University of Technology) · 2011
Abstract Semantic space models of word meaning derived from cooccurrence 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. 1