@InProceedings{schwartz-EtAl:2017:CoNLL,
  author    = {Schwartz, Roy  and  Sap, Maarten  and  Konstas, Ioannis  and  Zilles, Leila  and  Choi, Yejin  and  Smith, Noah A.},
  title     = {The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task},
  booktitle = {Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {15--25},
  abstract  = {A writer's style depends not just on personal traits but also on her intent and
	mental state. In this paper, we show how variants of the same writing task can
	lead to measurable differences in writing style. We present a case study based
	on the story cloze task (Mostafazadeh et al., 2016a), where annotators were
	assigned similar writing tasks with different constraints: (1) writing an
	entire story, (2) adding a story ending for a given story context, and (3)
	adding an incoherent ending to a story. We show that a simple linear classifier
	informed by stylistic features is able to successfully distinguish among the
	three cases, without even looking at the story context. In addition, combining
	our stylistic features with language model predictions reaches state of the art
	performance on the story cloze challenge. Our results demonstrate that
	different task framings can dramatically affect the way people write.},
  url       = {http://aclweb.org/anthology/K17-1004}
}