A deep learning approach to bilingual lexicon induction in the biomedical domain.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Bilingual lexicon induction (BLI) is an important task in the biomedical domain as translation resources are usually available for general language usage, but are often lacking in domain-specific settings. In this article we consider BLI as a classification problem and train a neural network composed of a combination of recurrent long short-term memory and deep feed-forward networks in order to obtain word-level and character-level representations.

Authors

  • Geert Heyman
    LIIR, Department of Computer Science, Celestijnenlaan 200A, Leuven, Belgium. geert.heyman@cs.kuleuven.be.
  • Ivan Vulić
    Language Technology Lab, DTAL, University of Cambridge, 9 West Road, Cambridge, UK.
  • Marie-Francine Moens