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Annotating Question Decomposition on Complex Medical Questions

Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014)

DOI:10.63317/3pat88b9rtqo

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.

Details

Paper ID
lrec2014-main-156
Pages
pp. 2598-2602
BibKey
roberts-etal-2014-annotating
Editor
N/A
Publisher
European Language Resources Association (ELRA)
ISSN
2522-2686
ISBN
978-2-9517408-8-4
Conference
Ninth International Conference on Language Resources and Evaluation
Location
Reykjavik, Iceland
Date
26 May 2014 31 May 2014

Authors

  • KR

    Kirk Roberts

  • KM

    Kate Masterton

  • MF

    Marcelo Fiszman

  • HK

    Halil Kilicoglu

  • DD

    Dina Demner-Fushman

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