Summary of the paper

Title A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers
Authors Carlos Valmaseda, Juan Martinez-Romo and 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.
Topics Corpus (Creation, Annotation, etc.), Collaborative Resource Construction, Discourse Annotation, Representation and Processing
Full paper A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers
Bibtex @InProceedings{VALMASEDA16.345,
  author = {Carlos Valmaseda and Juan Martinez-Romo and Lourdes Araujo},
  title = {A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
 }
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