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Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

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你好。论文里提到了将多个WFAs合并成一个,具体是怎么操作的呢,比如对于V_embedding词嵌入向量,shape为(V,r),那是把r分配到每个子WFA吗。此外,对于D1,D2,我的猜想是将根据子WFA的状态states数对应的赋值到r*K的矩阵里面,我的猜想对吗?