Advances in monolingual and crosslingual automatic disability annotation in Spanish.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Unlike diseases, automatic recognition of disabilities has not received the same attention in the area of medical NLP. Progress in this direction is hampered by obstacles like the lack of annotated corpus. Neural architectures learn to translate sequences from spontaneous representations into their corresponding standard representations given a set of samples. The aim of this paper is to present the last advances in monolingual (Spanish) and crosslingual (from English to Spanish and vice versa) automatic disability annotation. The task consists of identifying disability mentions in medical texts written in Spanish within a collection of abstracts from journal papers related to the biomedical domain.

Authors

  • Iakes Goenaga
    IXA Group, University of the Basque Country (UPV-EHU), Manuel Lardizabal 1, 20080 Donostia, Spain. Electronic address: iakes.goenaga@ehu.eus.
  • Edgar Andres
    HiTZ: Basque Center for Language Technology, University of the Basque Country UPV/EHU, Bilbao, Spain.
  • Koldo Gojenola
    IXA Group, University of the Basque Country (UPV-EHU), Computer Engineering Faculty, P. Manuel Lardizabal, 1, 20018 Donostia-San Sebastián, Spain(1).
  • Aitziber Atutxa