@InProceedings{piasecki-mlynarczyk-kocon:2017:RANLP,
  author    = {Piasecki, Maciej  and  M{\l}ynarczyk, Ksenia  and  Koco\'{n}, Jan},
  title     = {Recognition of Genuine Polish Suicide Notes},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {583--591},
  abstract  = {In this article we present the result of the recent research in the recognition
	of genuine Polish suicide notes (SNs). We provide useful method to distinguish
	between SNs and other types of discourse, including counterfeited SNs. The
	method uses a wide range of word-based and semantic features and it was
	evaluated using Polish Corpus of Suicide Notes, which contains 1244 genuine
	SNs, expanded with manually prepared set of 334 counterfeited SNs and 2200
	letter-like texts from the Internet. We utilized the algorithm to create the
	class-related sense dictionaries to improve the result of SNs classification.
	The obtained results show that there are fundamental differences between
	genuine SNs and counterfeited SNs. The applied method of the sense dictionary
	construction appeared to be the best way of improving the model.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_076}
}