@InProceedings{lee-lee:2017:I17-2,
  author    = {Lee, Gyoung Ho  and  Lee, Kong Joo},
  title     = {Automatic Text Summarization Using Reinforcement Learning with Embedding Features},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {193--197},
  abstract  = {An automatic text summarization system can automatically generate a short and
	brief summary that contains a main concept of an original document. In this
	work, we explore the advantages of simple embedding features in Reinforcement
	leaning approach to automatic text summarization tasks. In addition, we propose
	a novel deep learning network for estimating Q-values used in Reinforcement
	learning. We evaluate our model by using ROUGE scores with DUC 2001, 2002,
	Wikipedia, ACL-ARC data. Evaluation results show that our model is competitive
	with the previous models.},
  url       = {http://www.aclweb.org/anthology/I17-2033}
}