A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Domain Adaptation of Coreference Resolution for Radiology Reports
2012
Workshop on Biomedical Natural Language Processing
In this paper we explore the applicability of existing coreference resolution systems to a biomedical genre: radiology reports. Analysis revealed that, due to the idiosyncrasies of the domain, both the formulation of the problem of coreference resolution and its solution need significant domain adaptation work. We reformulated the task and developed an unsupervised algorithm based on heuristics for coreference resolution in radiology reports. The algorithm is shown to perform well on a test dataset of 150 manually annotated radiology reports.
dblp:conf/bionlp/ApostolovaTMD12
fatcat:ybp4a2y4yjg3dg3fajjbrkmauu