TY - GEN
T1 - Annotating question decomposition on complex medical questions
AU - Roberts, Kirk
AU - Masterton, Kate
AU - Fiszman, Marcelo
AU - Kilicoglu, Halil
AU - Demner-Fushman, Dina
N1 - Funding Information:
This work was supported by the intramural research program at the U.S. National Library of Medicine, National Institutes of Health. We would additionally like to thank Stephanie M. Morrison and Janine Lewis for their help accessing the GARD data.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Medical language processing
KW - Question answering
KW - Question decomposition
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M3 - Conference contribution
AN - SCOPUS:85037091029
T3 - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
SP - 2598
EP - 2602
BT - Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
A2 - Calzolari, Nicoletta
A2 - Choukri, Khalid
A2 - Goggi, Sara
A2 - Declerck, Thierry
A2 - Mariani, Joseph
A2 - Maegaard, Bente
A2 - Moreno, Asuncion
A2 - Odijk, Jan
A2 - Mazo, Helene
A2 - Piperidis, Stelios
A2 - Loftsson, Hrafn
PB - European Language Resources Association (ELRA)
T2 - 9th International Conference on Language Resources and Evaluation, LREC 2014
Y2 - 26 May 2014 through 31 May 2014
ER -