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Similarity between semantic spaces.
| Content Provider | CiteSeerX |
|---|---|
| Author | Graesser, Arthur C. |
| Abstract | One of thechallenges in Latent Semantic Analysis (LSA) is deciding which corpus is best for a speci c ̄ applica-tion.Imp ortant factors of LSA in°uence the generation of high quality LSA space including the size of the cor-pus, 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 simi-larity 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®er-ent corpora. The method we have develop ed is generic |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Similarity Semantic Space Semantic Space Di Cult Imp Ortant Factor Speci Applica-tion High Quality Lsa Space Lsa Space Er-ent Corpus General Method Di Erent Set Latent Semantic Analysis |
| Content Type | Text |
