@InProceedings{liu-cohn-baldwin:2018:Short,
  author    = {Liu, Fei  and  Cohn, Trevor  and  Baldwin, Timothy},
  title     = {Narrative Modeling with Memory Chains and Semantic Supervision},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {278--284},
  abstract  = {Story comprehension requires a deep semantic understanding of the narrative, making it a challenging task. Inspired by previous studies on ROC Story Cloze Test, we propose a novel method, tracking various semantic aspects with external neural memory chains while encouraging each to focus on a particular semantic aspect. Evaluated on the task of story ending prediction, our model demonstrates superior performance to a collection of competitive baselines, setting a new state of the art.},
  url       = {http://www.aclweb.org/anthology/P18-2045}
}