TY - GEN
T1 - Domain adaptation of coreference resolution for radiology reports
AU - Apostolova, Emilia
AU - Tomuro, Noriko
AU - Mongkolwat, Pattanasak
AU - Demner-Fushman, Dina
N1 - Publisher Copyright:
© 2012 Association for Computational Linguistics.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85084281242
M3 - Conference contribution
AN - SCOPUS:85084281242
T3 - BioNLP@HLT-NAACL 2012 - Workshop on Biomedical Natural Language Processing, Proceedings
SP - 118
EP - 121
BT - BioNLP@HLT-NAACL 2012 - Workshop on Biomedical Natural Language Processing, Proceedings
PB - Association for Computational Linguistics (ACL)
T2 - 2012 Workshop on Biomedical Natural Language Processing, BioNLP@HLT-NAACL 2012
Y2 - 8 June 2012
ER -