@InProceedings{vishnyakova-EtAl:2016:BioTxtM2016,
  author    = {Vishnyakova, Dina  and  Rodriguez-Esteban, Raul  and  Ozol, Khan  and  Rinaldi, Fabio},
  title     = {Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types},
  booktitle = {Proceedings of the Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {134--142},
  abstract  = {Author name disambiguation (AND) in publication and citation resources is a
	well-known problem. Often, information about email address and other details in
	the affiliation is missing. In cases where such information is not available,
	identifying the authorship of publications becomes very challenging.
	Consequently, there have been attempts to resolve such cases by utilizing
	external resources as references. However, such external resources are
	heterogeneous and are not always reliable regarding the correctness of
	information.  To solve the AND task, especially when information about an
	author is not complete we suggest the use of new features such as journal
	descriptors (JD) and semantic types (ST). The evaluation of different feature
	models shows that their inclusion has an impact equivalent to that of other
	important features such as email address. Using such features we show that our
	system outperforms the state of the art.},
  url       = {http://aclweb.org/anthology/W16-5115}
}