@InProceedings{flor-somasundaran:2017:LSDSem,
  author    = {Flor, Michael  and  Somasundaran, Swapna},
  title     = {Sentiment Analysis and Lexical Cohesion for the Story Cloze Task},
  booktitle = {Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {62--67},
  abstract  = {We present two NLP components for the Story Cloze Task -- dictionary-based
	sentiment analysis and lexical cohesion. While previous research found no
	contribution from sentiment analysis to the accuracy on this task, we
	demonstrate that sentiment is an important aspect. We describe a new approach,
	using a rule that estimates sentiment congruence in a story. Our
	sentiment-based system achieves strong results on this task. Our lexical
	cohesion system achieves accuracy comparable to previously published baseline
	results. A combination of the two systems achieves better accuracy than
	published baselines. We argue that sentiment analysis should be considered an
	integral part of narrative comprehension.},
  url       = {http://aclweb.org/anthology/W17-0909}
}