A tensor encoding model of word meaning : theory and application to information retrieval

Symonds, Michael J. (2013) A tensor encoding model of word meaning : theory and application to information retrieval. PhD thesis, Queensland University of Technology.

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This project was a step forward in developing and evaluating a novel, mathematical model that can deduce the meaning of words based on their use in language. This model can be applied to a wide range of natural language applications, including the information seeking process most of us undertake on a daily basis.

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697 since deposited on 06 Jun 2013
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ID Code: 60567
Item Type: QUT Thesis (PhD)
Supervisor: Bruza, Peter D., Turner, Ian, & Sitbon, Laurianne
Keywords: Meaning, Corpus-based, Semantic, Semantic Space Model, Information Retrieval, TE, TQE, tensor, syntagmatic, paradigmatic
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 06 Jun 2013 07:01
Last Modified: 21 Jun 2017 14:47

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