@inproceedings{roberts-etal-2014-annotating,
title = "Annotating Question Decomposition on Complex Medical Questions",
author = "Roberts, Kirk and
Masterton, Kate and
Fiszman, Marcelo and
Kilicoglu, Halil and
Demner-Fushman, Dina",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/124_Paper.pdf",
pages = "2598--2602",
abstract = "This paper presents a method for annotating question decomposition on complex medical questions. The annotations cover multiple syntactic ways that questions can be decomposed, including separating independent clauses as well as recognizing coordinations and exemplifications. We annotate a corpus of 1,467 multi-sentence consumer health questions about genetic and rare diseases. Furthermore, we label two additional medical-specific annotations: (1) background sentences are annotated with a number of medical categories such as symptoms, treatments, and family history, and (2) the central focus of the complex question (a disease) is marked. We present simple baseline results for automatic classification of these annotations, demonstrating the challenging but important nature of this task.",
}
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%0 Conference Proceedings
%T Annotating Question Decomposition on Complex Medical Questions
%A Roberts, Kirk
%A Masterton, Kate
%A Fiszman, Marcelo
%A Kilicoglu, Halil
%A Demner-Fushman, Dina
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F roberts-etal-2014-annotating
%X This paper presents a method for annotating question decomposition on complex medical questions. The annotations cover multiple syntactic ways that questions can be decomposed, including separating independent clauses as well as recognizing coordinations and exemplifications. We annotate a corpus of 1,467 multi-sentence consumer health questions about genetic and rare diseases. Furthermore, we label two additional medical-specific annotations: (1) background sentences are annotated with a number of medical categories such as symptoms, treatments, and family history, and (2) the central focus of the complex question (a disease) is marked. We present simple baseline results for automatic classification of these annotations, demonstrating the challenging but important nature of this task.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/124_Paper.pdf
%P 2598-2602
Markdown (Informal)
[Annotating Question Decomposition on Complex Medical Questions](http://www.lrec-conf.org/proceedings/lrec2014/pdf/124_Paper.pdf) (Roberts et al., LREC 2014)
ACL
- Kirk Roberts, Kate Masterton, Marcelo Fiszman, Halil Kilicoglu, and Dina Demner-Fushman. 2014. Annotating Question Decomposition on Complex Medical Questions. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2598–2602, Reykjavik, Iceland. European Language Resources Association (ELRA).