@InProceedings{vincze:2016:ExProM,
  author    = {Vincze, Veronika},
  title     = {Detecting Uncertainty Cues in Hungarian Social Media Texts},
  booktitle = {Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics (ExProM)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {11--21},
  abstract  = {In this paper, we aim at identifying uncertainty cues in Hungarian social media
	texts. We present our machine learning based uncertainty detector which is
	based on a rich features set including lexical, morphological, syntactic,
	semantic and discourse-based features, and we evaluate our system on a small
	set of manually annotated social media texts. We also carry out cross-domain
	and domain adaptation experiments using an annotated corpus of standard
	Hungarian texts and show that domain differences significantly affect machine
	learning. Furthermore, we argue that differences among uncertainty cue types
	may also affect the efficiency of uncertainty detection.},
  url       = {http://aclweb.org/anthology/W16-5002}
}