2019

• Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier. (2019):
  An interactive multi-task learning network for end-to-end aspect-based sentiment analysis. In Proceedings of ACL

2018

• Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier (2018):
  Memory networks for fine-grained opinion mining. Artificial Intelligence (265)
• Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier (2018):
  Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. In Proceedings of EMNLP
• Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier (2018):
  Exploiting document knowledge for aspect-level sentiment classification. In Proceedings of ACL

2017

• Daniel Dahlmeier (2017):
  On the challenges of translating NLP research into commercial products. In Proceedings of ACL
• Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier (2017):
  An unsupervised neural attention model for aspect extraction. In Proceedings of ACL
• Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, and Xiaokui Xiao (2017):
  Coupled multi-layer attentions for co-extraction of aspect and opinion terms. In Proceedings of AAAI

2016

• Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, and Xiaokui Xiao (2016):
  Recursive neural conditional random fields for aspect-based sentiment analysis. In Proceedings of EMNLP