@InProceedings{pravzak-konopik:2017:RANLP,
  author    = {Pra\v{z}\'{a}k, Ond\v{r}ej  and  Konopik, Miloslav},
  title     = {Cross-Lingual SRL Based upon Universal Dependencies},
  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     = {592--600},
  abstract  = {In this paper, we introduce a cross-lingual Semantic Role Labeling (SRL) system
	with language independent features based upon Universal Dependencies. We
	propose two methods to convert SRL annotations from monolingual dependency
	trees into universal dependency trees. Our SRL system is based upon
	cross-lingual features derived from universal dependency trees and a supervised
	learning that utilizes a maximum entropy classifier. We design experiments to
	verify whether the Universal Dependencies are suitable for the cross-lingual
	SRL. The results are very promising and they open new interesting research
	paths for the future.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_077}
}