Semantic oscillations : encoding context and structure in complex valued holographic vectors
De Vine, Lance & Bruza, Peter D. (2010) Semantic oscillations : encoding context and structure in complex valued holographic vectors. In Quantum Informatics for Cognitive, Social, and Semantic Processes (QI 2010), AAAI Press, Arlington, Virginia.
In computational linguistics, information retrieval and applied cognition, words and concepts are often represented as vectors in high dimensional spaces computed from a corpus of text. These high dimensional spaces are often referred to as Semantic Spaces. We describe a novel and efficient approach to computing these semantic spaces via the use of complex valued vector representations. We report on the practical implementation of the proposed method and some associated experiments. We also briefly discuss how the proposed system relates to previous theoretical work in Information Retrieval and Quantum Mechanics and how the notions of probability, logic and geometry are integrated within a single Hilbert space representation. In this sense the proposed system has more general application and gives rise to a variety of opportunities for future research.
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|Item Type:||Conference Paper|
|Keywords:||quantum, language, semantics, representation|
|Subjects:||Australian and New Zealand Standard Research Classification > PHYSICAL SCIENCES (020000) > QUANTUM PHYSICS (020600) > Quantum Information Computation and Communication (020603)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Current > Research Centres > High Performance Computing and Research Support
Past > Schools > Information Systems
|Copyright Owner:||Copyright 2010 American Association for Artificial Intelligence (www.aaai.org). All rights reserved.|
|Deposited On:||23 Dec 2010 16:19|
|Last Modified:||02 Oct 2014 11:31|
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