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 . 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.
|Number of pages||4|
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 3 Mar 2011|
|Event||2nd Italian Information Retrieval Workshop, IIR 2011 - Milan, Italy|
Duration: 27 Jan 2011 → 28 Jan 2011
- semantic space
- HAL model