@InProceedings{murakami-EtAl:2017:Long,
  author    = {Murakami, Soichiro  and  Watanabe, Akihiko  and  Miyazawa, Akira  and  Goshima, Keiichi  and  Yanase, Toshihiko  and  Takamura, Hiroya  and  Miyao, Yusuke},
  title     = {Learning to Generate Market Comments from Stock Prices},
  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     = {1374--1384},
  abstract  = {This paper presents a novel encoder-decoder model for automatically generating
	market comments from stock prices. The model first encodes both short- and
	long-term series of stock prices so that it can mention short- and long-term
	changes in stock prices. In the decoding phase, our model can also generate a
	numerical value by selecting an appropriate arithmetic operation such as
	subtraction or rounding, and applying it to the input stock prices. Empirical
	experiments show that our best model generates market comments at the fluency
	and the informativeness approaching human-generated reference texts.},
  url       = {http://aclweb.org/anthology/P17-1126}
}