@InProceedings{gurevych:2017:WASSA2017,
  author    = {Gurevych, Iryna},
  title     = {Latest News in Computational Argumentation: Surfing on the Deep Learning Wave, Scuba Diving in the Abyss of Fundamental Questions},
  booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {66},
  abstract  = {Mining arguments from natural language texts, parsing argumentative structures,
	and assessing argument quality are among the recent challeng-es tackled in
	computational argumentation. While advanced deep learning models provide
	state-of-the-art performance in many of these tasks, much attention is also
	paid to the underly-ing fundamental questions. How are arguments expressed in
	natural language across genres and domains? What is the essence of an
	argument's claim? Can we reliably annotate convincingness of an argument? How
	can we approach logic and common-sense reasoning in argumentation? This talk
	highlights some recent advances in computa-tional argumentation and shows why
	researchers must be both "surfers" and "scuba divers".},
  url       = {http://www.aclweb.org/anthology/W17-5208}
}