@InProceedings{guo:2017:Short,
  author    = {Guo, Hongyu},
  title     = {A Deep Network with Visual Text Composition Behavior},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {372--377},
  abstract  = {While natural languages are compositional, how state-of-the-art neural models
	achieve compositionality is still unclear. We propose a deep network, which 
	not only achieves competitive accuracy for text classification, but also 
	exhibits compositional behavior. That is, while creating hierarchical 
	representations of a piece of text, such as a sentence, the lower layers of the
	network distribute their layer-specific attention weights to individual words.
	In contrast, the higher layers compose meaningful phrases and clauses, whose
	lengths increase as the networks get deeper until fully composing the 
	sentence.},
  url       = {http://aclweb.org/anthology/P17-2059}
}