@InProceedings{song-EtAl:2017:Long,
  author    = {Song, Wei  and  Wang, Dong  and  Fu, Ruiji  and  Liu, Lizhen  and  Liu, Ting  and  Hu, Guoping},
  title     = {Discourse Mode Identification in Essays},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {112--122},
  abstract  = {Discourse modes play an important role in writing composition and evaluation.
	This paper presents a study on the manual and automatic identification of
	narration,exposition, description, argument and emotion expressing sentences in
	narrative essays. We annotate a corpus to study the characteristics of
	discourse modes
	and describe a neural sequence labeling model for identification. Evaluation
	results show that discourse modes can be identified automatically with an
	average F1-score of 0.7. We further demonstrate that discourse modes can be
	used as features that improve automatic essay scoring (AES). The impacts of
	discourse modes for AES are also discussed.},
  url       = {http://aclweb.org/anthology/P17-1011}
}