no code implementations • 20 May 2022 • Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah Erfani
Data artifacts incentivize machine learning models to learn non-transferable generalizations by taking advantage of shortcuts in the data, and there is growing evidence that data artifacts play a role for the strong results that deep learning models achieve in recent natural language processing benchmarks.
1 code implementation • ACL 2022 • Shiquan Yang, Rui Zhang, Sarah Erfani, Jey Han Lau
To obtain a transparent reasoning process, we introduce neuro-symbolic to perform explicit reasoning that justifies model decisions by reasoning chains.
1 code implementation • EMNLP 2020 • Shiquan Yang, Rui Zhang, Sarah Erfani
End-to-end task-oriented dialogue systems aim to generate system responses directly from plain text inputs.