@InProceedings{barriere-menard-azoulay:2016:Computerm2016,
  author    = {Barriere, Caroline  and  M\'{e}nard, Pierre Andr\'{e}  and  Azoulay, Daphn\'{e}e},
  title     = {Contextual term equivalent search using domain-driven disambiguation},
  booktitle = {Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {21--29},
  abstract  = {This article presents a domain-driven algorithm for the task of term sense
	disambiguation (TSD).  TSD aims at automatically choosing which term record
	from a term bank best represents the meaning of a term occurring in a
	particular context.  In a translation environment, finding the contextually
	appropriate term record is necessary to access the proper equivalent to be used
	in the target language text. The term bank TERMIUM Plus, recently published as
	an open access repository, is chosen as a domain-rich resource for testing our
	TSD algorithm, using English and French as source and target languages.  We
	devise an experiment using over 1300 English terms found in scientific
	articles, and show that our domain-driven TSD algorithm is able to bring the
	best term record, and therefore the best French equivalent, at the average rank
	of 1.69 compared to a baseline random rank of 3.51.},
  url       = {http://aclweb.org/anthology/W16-4704}
}