Hou, Yuexian and Song, Dawei
(2009).
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| URL: | http://www.springerlink.com/content/553031343p4472... |
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| DOI (Digital Object Identifier) Link: | http://doi.org/10.1007/978-3-642-00834-4_20 |
| Google Scholar: | Look up in Google Scholar |
Abstract
An emerging topic in Quantuam Interaction is the use of lexical semantic spaces, as Hilbert spaces, to capture the meaning of words. There has been some initial evidence that the phenomenon of quantum entanglement exists in a semantic space and can potentially play a crucial role in determining the embeded semantics. In this paper, we propose to consider pure high-order entanglements that cannot be reduced to the compositional effect of lower-order ones, as an indicator of high-level semantic entities. To characterize the intrinsic order of entanglements and distinguish pure high-order entanglements from lower-order ones, we develop a set of methods in the framework of Information Geometry. Based on the developed methods, we propose an expanded vector space model that involves context-sensitive high-order information and aims at characterizing high-level retrieval contexts. Some initial ideas on applying the proposed methods in query expansion and text classification are also presented.
| Item Type: | Conference Item |
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| Copyright Holders: | 2009 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | Quantum Interaction
Third International Symposium, QI 2009 Saarbrücken, Germany, March 25-27, 2009 Proceedings Peter Bruza, Donald Sofge, William Lawless, Keith van Rijsbergen, Matthias Klusch (Eds.) Lecture Notes in Computer Science 5494 Lecture Notes in Artificial Intelligence ISBN-13 978-3-642-00833-7 pp.237-250 |
| Keywords: | information geometry; pure high-order entanglement; semantic emergence; extended vector model |
| Academic Unit/Department: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Related URLs: | |
| Item ID: | 35327 |
| Depositing User: | Dawei Song |
| Date Deposited: | 13 Nov 2012 17:01 |
| Last Modified: | 06 Aug 2016 16:05 |
| URI: | http://oro.open.ac.uk/id/eprint/35327 |
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