@InProceedings{kim-EtAl:2017:Short,
  author    = {Kim, Sunghwan Mac  and  Xu, Qiongkai  and  Qu, Lizhen  and  Wan, Stephen  and  Paris, Cecile},
  title     = {Demographic Inference on Twitter using Recursive Neural Networks},
  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     = {471--477},
  abstract  = {In social media, demographic inference is a critical task in order to gain a
	better understanding of a cohort and to facilitate interacting with one's
	audience. Most previous work has made independence assumptions over
	topological, textual and label information on social networks. In this work, we
	employ recursive neural networks to break down these independence assumptions
	to obtain inference about demographic characteristics on Twitter. We show that
	our model performs better than existing models including the state-of-the-art.},
  url       = {http://aclweb.org/anthology/P17-2075}
}