Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen. Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. In Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. pages 4543-4548, Association for Computational Linguistics, 2020. [doi]

@inproceedings{VeysehNDTDN20,
  title = {Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation},
  author = {Amir Pouran Ben Veyseh and Nasim Nouri and Franck Dernoncourt and Quan Hung Tran and Dejing Dou and Thien Huu Nguyen},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.findings-emnlp.407/},
  researchr = {https://researchr.org/publication/VeysehNDTDN20},
  cites = {0},
  citedby = {0},
  pages = {4543-4548},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020},
  editor = {Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-90-3},
}