@InProceedings{sun-EtAl:2017:EACLlong,
  author    = {Sun, Changzhi  and  Wu, Yuanbin  and  Lan, Man  and  Sun, Shiliang  and  Zhang, Qi},
  title     = {Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network},
  booktitle = {Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {1033--1043},
  abstract  = {We investigate the task of open domain opinion relation extraction. Different
	from
	works on manually labeled corpus, we propose an efficient distantly supervised
	framework based on pattern matching and neural network classifiers. The
	patterns
	are designed to automatically generate training data, and the deep learning
	model is design to capture various lexical and syntactic features. The result
	algorithm is fast and scalable on large-scale corpus. We test the system on the
	Amazon online review dataset. The result shows that our model is able to
	achieve promising performances without any human annotations.
	Author{2}{Affiliation}},
  url       = {http://www.aclweb.org/anthology/E17-1097}
}