@InProceedings{ulinski-benjamin-hirschberg:2018:W18-13,
  author    = {Ulinski, Morgan  and  Benjamin, Seth  and  Hirschberg, Julia},
  title     = {Using Hedge Detection to Improve Committed Belief Tagging},
  booktitle = {Proceedings of the Workshop on Computational Semantics beyond Events and Roles},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {1--5},
  abstract  = {We describe a novel method for identifying hedge terms using a set of manually constructed rules. We present experiments adding hedge features to a committed belief system to improve classification. We compare performance of this system (a) without hedging features, (b) with dictionary-based features, and (c) with rule-based features. We find that using hedge features improves performance of the committed belief system, particularly in identifying instances of non-committed belief and reported belief.},
  url       = {http://www.aclweb.org/anthology/W18-1301}
}