@InProceedings{klenner-tuggener-clematide:2017:LSDSem,
  author    = {Klenner, Manfred  and  Tuggener, Don  and  Clematide, Simon},
  title     = {Stance Detection in Facebook Posts of a German Right-wing Party},
  booktitle = {Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {31--40},
  abstract  = {We argue that in order to detect stance, not only the explicit attitudes
	of the stance holder towards the targets are crucial. It is the whole narrative
	the writer drafts that counts, including the way  he hypostasizes the discourse
	referents: as benefactors or villains, as victims or beneficiaries. 
	We exemplify the ability of our system to identify targets and detect 
	the writer's stance towards them on the basis of about 100 000 Facebook posts
	of a German right-wing party.
	A reader and writer model on top of our verb-based attitude extraction 
	directly reveal stance conflicts.},
  url       = {http://aclweb.org/anthology/W17-0904}
}