- Anthology ID:
- D16-1058
- Volume:
- Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2016
- Address:
- Austin, Texas
- Editors:
- Jian Su, Kevin Duh, Xavier Carreras
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 606–615
- Language:
- URL:
- https://aclanthology.org/D16-1058
- DOI:
- 10.18653/v1/D16-1058
- Cite (ACL):
- Yequan Wang, Minlie Huang, Xiaoyan Zhu, and Li Zhao. 2016. Attention-based LSTM for Aspect-level Sentiment Classification. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 606–615, Austin, Texas. Association for Computational Linguistics.
- Cite (Informal):
- Attention-based LSTM for Aspect-level Sentiment Classification (Wang et al., EMNLP 2016)
- PDF:
- https://preview.aclanthology.org/ml4al-ingestion/D16-1058.pdf
- Code
- additional community code
- Data
- SemEval-2014 Task-4