A semantically annotated corpus for automatic verbal autopsy analysis

Danso, S., Atwell, E., Johnson, O., ten Asbroek, G., Soremekun, S., Edmond, K., Hurt, Chris Nicholas ORCID: https://orcid.org/0000-0003-1206-8355, Hurt, Lisa ORCID: https://orcid.org/0000-0002-2741-5383, Zandoh, C., Tawiah, C., Hill, Z., Fenty, J., Amenga Etego, S., Owusu Agyei, S. and Kirkwood, B. R. 2013. A semantically annotated corpus for automatic verbal autopsy analysis. International Computer Archive Of Modern English 37 , pp. 67-100.

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Abstract

This paper presents a method employed in building a semantically annotated corpus of 11,741 Verbal Autopsy documents, each annotated with Cause of Death, based on verbal records of deaths of mothers, stillbirths, and infants up to 1 year of age, captured for analysis in Ghana between December 2000 and July 2010. Verbal Autopsy is a technique which involves interviewing individu-als (such as relatives or caregivers) who were close to the deceased, and if pos-sible, who cared for the individual around the time of death, to document events that may have led to the individuals' death. The Verbal Autopsy technique is rec-ommended by the World Health Organisation as a pragmatic substitute for a clinical autopsy to establish cause of death in regions such as sub-Saharan Africa where death may occur well away from clinical services. An evaluation is carried out based on established criteria to demonstrate that the Verbal Autopsy corpus possesses the qualities of many referenced corpora. The experiences drawn from the methods employed, with alternative approaches, may lead to a more efficient and cost effective corpus development framework.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Biosciences Medicine
Subjects:	R Medicine > R Medicine (General)
Publisher:	De Gruyter
ISSN:	1502-5462
Related URLs:	Organisation
Last Modified:	01 Nov 2022 10:06
URI:	https://orca.cardiff.ac.uk/id/eprint/90240

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