@inproceedings{feizabadi12:_autom_ident_motion_verbs_wordn,
  abstract = {This paper discusses the automatic identification of motion verbs in the context of "locations inference", that is, the recovery of unrealized location roles from discourse context, a special case of missing argument recovery. We first report on a small corpus study on verb classes for which location roles are particularly relevant. This includes motion, orientation and position verbs. Then, we discuss the automatic recognition of these verbs on the basis of WordNet and FrameNet. For FrameNet, we obtain results up to 67\% F-Score.},
  added-at = {2017-04-03T19:28:28.000+0200},
  address = {Vienna, Austria},
  author = {Feizabadi, Parvin Sadat and Pad{\'o}, Sebastian},
  biburl = {https://puma.ub.uni-stuttgart.de/bibtex/239e13ca98add330acf2a4860f19f963e/sp},
  booktitle = {Proceedings of KONVENS},
  interhash = {e2e99bf88008e3520b8d50d919e260dd},
  intrahash = {39e13ca98add330acf2a4860f19f963e},
  keywords = {conference myown},
  pages = {70--79},
  timestamp = {2025-01-16T17:31:31.000+0100},
  title = {Automatic Identification of Motion Verbs in
                  {WordNet} and {FrameNet} for Locational Inference},
  url = {http://www.oegai.at/konvens2012/proceedings/12_feizabadi12o/},
  year = 2012
}