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Jie Fu

Alumni

Publications

Multi-task Learning over Graph Structures
Pengfei Liu
Jie Fu
Yue Dong
Xipeng Qiu
Jackie CK Cheung
We present two architectures for multi-task learning with neural sequence models. Our approach allows the relationships between different ta… (voir plus)sks to be learned dynamically, rather than using an ad-hoc pre-defined structure as in previous work. We adopt the idea from message-passing graph neural networks and propose a general \textbf{graph multi-task learning} framework in which different tasks can communicate with each other in an effective and interpretable way. We conduct extensive experiments in text classification and sequence labeling to evaluate our approach on multi-task learning and transfer learning. The empirical results show that our models not only outperform competitive baselines but also learn interpretable and transferable patterns across tasks.
2018-11-25
ArXiv (prépublication)
arxiv.org
arxiv.org