Semantic judgement of medical concepts : combining syntagmatic and paradigmatic information with the tensor encoding model

Symonds, Michael, Zuccon, Guido, Koopman, Bevan, Bruza, Peter D., & Nguyen, Anthony (2012) Semantic judgement of medical concepts : combining syntagmatic and paradigmatic information with the tensor encoding model. In Australasian Language Technology Association Workshop (ALTA 2012), 4-6 December 2012, University of Otago, Dunedin.

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This paper outlines a novel approach for modelling semantic relationships within medical documents. Medical terminologies contain a rich source of semantic information critical to a number of techniques in medical informatics, including medical information retrieval. Recent research suggests that corpus-driven approaches are effective at automatically capturing semantic similarities between medical concepts, thus making them an attractive option for accessing semantic information.

Most previous corpus-driven methods only considered syntagmatic associations. In this paper, we adapt a recent approach that explicitly models both syntagmatic and paradigmatic associations. We show that the implicit similarity between certain medical concepts can only be modelled using paradigmatic associations. In addition, the inclusion of both types of associations overcomes the sensitivity to the training corpus experienced by previous approaches, making our method both more effective and more robust. This finding may have implications for researchers in the area of medical information retrieval.

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ID Code: 54722
Item Type: Conference Paper
Refereed: Yes
Keywords: Tensor Encoding Model, Medical Concept Similarity Judgement, Structural Linguistics, Semantic Similarity
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > OTHER INFORMATION AND COMPUTING SCIENCES (089900) > Information and Computing Sciences not elsewhere classified (089999)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 [please consult the author]
Deposited On: 12 Nov 2012 23:47
Last Modified: 26 Mar 2014 02:14

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