@InProceedings{ronnqvist-schenk-chiarcos:2017:Short,
  author    = {R\"{o}nnqvist, Samuel  and  Schenk, Niko  and  Chiarcos, Christian},
  title     = {A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations},
  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     = {256--262},
  abstract  = {We introduce an attention-based Bi-LSTM for Chinese implicit discourse
	relations and demonstrate that modeling argument pairs as a joint sequence can
	outperform word order-agnostic approaches. Our model benefits from a partial
	sampling scheme and is conceptually simple, yet achieves state-of-the-art
	performance on the Chinese Discourse Treebank. We also visualize its attention
	activity to illustrate the model's ability to selectively focus on the relevant
	parts of an input sequence.},
  url       = {http://aclweb.org/anthology/P17-2040}
}