A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers
Carlos Valmaseda, Juan Martinez-Romo, Lourdes Araujo
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC) 2016

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.