Restoring the intended structure of Hungarian ophthalmology documents

Siklósi, Borbála and Novák, Attila (2015) Restoring the intended structure of Hungarian ophthalmology documents. In: Proceedings of the BioNLP 2015 Workshop on Biomedical Natural Language Processing. ACL, Beijing, pp. 152-157. ISBN 978-1-932432-66-4

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Abstract

Clinical documents have been an emerg- ing target of natural language applications. Information stored in documents created at clinical settings can be very useful for doctors or medical experts. However, the way these documents are created and stored is often a hindrance to accessing their content. In this paper, an automatic method for restoring the intended structure of Hungarian ophthalmology documents is described. The statements in these docu- ments in their original form appeared un- der various subheadings. We successfully applied our method for reassigning the correct heading for each line based on its content. The results show that the cate- gorization was correct for 81.99% of the statements in our testset, compared to a human categorization.

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