Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets

Lei Shu, Bing Liu, Hu Xu, Annice Kim. Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. In Jian Su, Xavier Carreras, Kevin Duh, editors, Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016. pages 225-235, The Association for Computational Linguistics, 2016. [doi]

@inproceedings{ShuLXK16,
  title = {Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets},
  author = {Lei Shu and Bing Liu and Hu Xu and Annice Kim},
  year = {2016},
  url = {http://aclweb.org/anthology/D/D16/D16-1022.pdf},
  researchr = {https://researchr.org/publication/ShuLXK16},
  cites = {0},
  citedby = {0},
  pages = {225-235},
  booktitle = {Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016},
  editor = {Jian Su and Xavier Carreras and Kevin Duh},
  publisher = {The Association for Computational Linguistics},
  isbn = {978-1-945626-25-8},
}