Song, Dawei and Hoenkamp, Eduard
(2004).
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1145/1008992.1009088 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
In recent years, statistical language models are being proposed as alternative to the vector space model. Viewing documents as language samples introduces the issue of defining a joint probability distribution over the terms.The present paper models a document as the result of a Markov process. It argues that this process is ergodic, which is theoretically plausible, and easy to verify in practice.The theoretical result is that the joint distribution can be easily obtained. This can also be applied for search resolutions other than the document level. We verified this in an experiment on query expansion demonstrating both the validity and the practicability of the method. This holds a promise for general language models.
| Item Type: | Conference or Workshop Item |
|---|---|
| Keywords: | ergodic process; language models; semantic space |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 9041 |
| Depositing User: | Aneta Tumilowicz |
| Date Deposited: | 25 Sep 2007 |
| Last Modified: | 07 Dec 2018 09:06 |
| URI: | http://oro.open.ac.uk/id/eprint/9041 |
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