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                                            Coga8

crf.py里维特比back_points初始化问题

你好，我有一些疑问 `back_points, index_points = [self.transitions[self.start_tag, :self.start_tag].cpu()], [torch.LongTensor([-1]).expand_as(forward)]` 在这里back_points初始化时只考虑了start_tag到各个tag的转移概率，是不是少加了1st word到各个tag的发射概率还有就是 ```python for i in range(1, time_steps): # START_TAG -> 1st word -> 2nd word ->...->END_TAG emission_start = forward.expand(self.num_tag, self.num_tag).t() emission_end...