@InProceedings{wang-EtAl:2018:C18-13,
  author    = {Wang, Jingjing  and  Li, Shoushan  and  Jiang, Mingqi  and  Wu, Hanqian  and  Zhou, Guodong},
  title     = {Cross-media User Profiling with Joint Textual and Social User Embedding},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {1410--1420},
  abstract  = {In realistic scenarios, a user profiling model (e.g., gender classification or age regression) learned from one social media might perform rather poorly when tested on another social media due to the different data distributions in the two media. In this paper, we address cross-media user profiling by bridging the knowledge between the source and target media with a uniform user embedding},
  url       = {http://www.aclweb.org/anthology/C18-1119}
}