no code implementations • EMNLP 2020 • Yang Gao, Yi-Fan Li, Yu Lin, Charu Aggarwal, Latifur Khan
For many real-world classification problems, e. g., sentiment classification, most existing machine learning methods are biased towards the majority class when the Imbalance Ratio (IR) is high.
no code implementations • 3 Apr 2021 • Yang Gao, Yi-Fan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham
In this paper, we present a new online metric learning framework that attempts to tackle the challenge by learning an ANN-based metric with adaptive model complexity from a stream of constraints.
no code implementations • 16 Sep 2020 • Yadan Fan, Sicheng Zhou, Yi-Fan Li, Rui Zhang
The best performed NER and RE models were further applied on clinical notes mentioning 88 DS for discovering DS adverse events and indications, which were compared with a DS knowledge base.
no code implementations • 10 Sep 2020 • Huale Li, Xuan Wang, Fengwei Jia, Yi-Fan Li, Yulin Wu, Jiajia Zhang, Shuhan Qi
Extensive experimental results on various games have shown that the generalization ability of our method is significantly improved compared with existing state-of-the-art methods.
no code implementations • 25 Mar 2020 • Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan
Recent advances in research have demonstrated the effectiveness of knowledge graphs (KG) in providing valuable external knowledge to improve recommendation systems (RS).