@InProceedings{qin-EtAl:2018:Short,
  author    = {Qin, Lianhui  and  Liu, Lemao  and  Bi, Wei  and  Wang, Yan  and  Liu, Xiaojiang  and  Hu, Zhiting  and  Zhao, Hai  and  Shi, Shuming},
  title     = {Automatic Article Commenting: the Task and Dataset},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {151--156},
  abstract  = {Comments of online articles provide extended views and improve user engagement. Automatically making comments thus become a valuable functionality for online forums, intelligent chatbots, etc. This paper proposes the new task of automatic article commenting, and introduces a large-scale Chinese dataset with millions of real comments and a human-annotated subset characterizing the comments' varying quality. Incorporating the human bias of comment quality, we further develop automatic metrics that generalize a broad set of popular reference-based metrics and exhibit greatly improved correlations with human evaluations.},
  url       = {http://www.aclweb.org/anthology/P18-2025}
}