A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving

no code implementations • 1 Dec 2022 • Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang

We design a neural network to simulate SOIRE matching and theoretically prove that certain assignments of the set of parameters learnt by the neural network, called faithful encodings, are one-to-one corresponding to SOIREs for a bounded size.

A DQN-based Approach to Finding Precise Evidences for Fact Verification

1 code implementation • ACL 2021 • Hai Wan, Haicheng Chen, Jianfeng Du, Weilin Luo, Rongzhen Ye

Computing precise evidences, namely minimal sets of sentences that support or refute a given claim, rather than larger evidences is crucial in fact verification (FV), since larger evidences may contain conflicting pieces some of which support the claim while the other refute, thereby misleading FV.

Claim Verification Fact Verification +2