Similarity Between Semantic Spaces
نویسندگان
چکیده
One of thechallenges in Latent Semantic Analysis (LSA) is deciding which corpus is best for a speci c̄ application.Imp ortant factors of LSA in°uence the generation of high quality LSA space including the size of the corpus, the weight (local or global) functions, number of dimensions to keep, etc. These factors are often di±cult to determine and as a result hard to control for. In this paper, we provide a general method to measure similarity between semantic spaces. Using this method, one can evaluate semantic spaces (such as LSA spaces) that are generated from di®erent sets of parameters or di®erent corpora. The method we have develop ed is generic enough to evaluate di®ering types of semantic spaces.
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