A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers

Carlos Valmaseda, Juan Martinez-Romo, Lourdes Araujo


Abstract
This paper presents the creation of a corpus of labeled disabilities in scientific papers. The identification of medical concepts in documents and, especially, the identification of disabilities, is a complex task mainly due to the variety of expressions that can make reference to the same problem. Currently there is not a set of documents manually annotated with disabilities with which to evaluate an automatic detection system of such concepts. This is the reason why this corpus arises, aiming to facilitate the evaluation of systems that implement an automatic annotation tool for extracting biomedical concepts such as disabilities. The result is a set of scientific papers manually annotated. For the selection of these scientific papers has been conducted a search using a list of rare diseases, since they generally have associated several disabilities of different kinds.
Anthology ID:
L16-1162
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1022–1025
Language:
URL:
https://aclanthology.org/L16-1162
DOI:
Bibkey:
Cite (ACL):
Carlos Valmaseda, Juan Martinez-Romo, and Lourdes Araujo. 2016. A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1022–1025, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers (Valmaseda et al., LREC 2016)
Copy Citation:
PDF:
https://aclanthology.org/L16-1162.pdf