@InProceedings{zhu-qian:2018:C18-1,
  author    = {Zhu, Peisong  and  Qian, Tieyun},
  title     = {Enhanced Aspect Level Sentiment Classification with Auxiliary Memory},
  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     = {1077--1087},
  abstract  = {In aspect level sentiment classification, there are two common tasks: to identify the sentiment of an aspect (category) or a term. As specific instances of aspects, terms explicitly occur in sentences. It is beneficial for models to focus on nearby context words. In contrast, as high level semantic concepts of terms, aspects usually have more generalizable representations.},
  url       = {http://www.aclweb.org/anthology/C18-1092}
}