@InProceedings{ji-smith:2017:Long,
  author    = {Ji, Yangfeng  and  Smith, Noah A.},
  title     = {Neural Discourse Structure for Text Categorization},
  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     = {996--1005},
  abstract  = {We show that discourse structure, as defined by Rhetorical Structure Theory and
	provided by an existing discourse parser, benefits text categorization.  Our
	approach uses a recursive neural network and a newly proposed attention
	mechanism to compute a representation of the text that focuses on salient
	content, from the perspective of both RST and the task.  Experiments consider
	variants of the approach and illustrate its strengths and weaknesses.},
  url       = {http://aclweb.org/anthology/P17-1092}
}