@InProceedings{vempala-blanco-palmer:2018:N18-2,
  author    = {Vempala, Alakananda  and  Blanco, Eduardo  and  Palmer, Alexis},
  title     = {Determining Event Durations: Models and Error Analysis},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {164--168},
  abstract  = {This paper presents models to predict event durations. We introduce aspectual features that capture deeper linguistic information than previous work, and experiment with neural networks. Our analysis shows that tense, aspect and temporal structure of the clause provide useful clues, and that an LSTM ensemble captures relevant context around the event.},
  url       = {http://www.aclweb.org/anthology/N18-2026}
}