@InProceedings{li-lam:2017:EMNLP2017,
  author    = {Li, Xin  and  Lam, Wai},
  title     = {Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {2886--2892},
  abstract  = {We propose a novel LSTM-based deep multi-task learning framework for aspect
	term extraction from user review sentences. Two LSTMs equipped with extended
	memories and neural memory operations are designed for jointly handling the
	extraction tasks of aspects and opinions via memory interactions. Sentimental
	sentence constraint is also added for more accurate prediction via another
	LSTM. Experiment results over two benchmark datasets demonstrate the
	effectiveness of our framework.},
  url       = {https://www.aclweb.org/anthology/D17-1310}
}