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pytorch implementation of Joint Slot Filling and Intent Detection via Capsule Neural Networks(ACL 2019)
This project forked from 1160300129/capsule-nlu
pytorch implementation of Joint Slot Filling and Intent Detection via Capsule Neural Networks(ACL 2019)
尝试复现了ACL2019年Joint Slot Filling and Intent Detection via Capsule Neural Networks论文 最后结果没达到论文模型说的那么好,槽填充和意图识别都差%2左右(是我自己太菜了....) 相比原模型改动 batch 由8 -> 4(主要是家里电脑带不起来), intent的loss类型有margin->交叉熵 仅供参考,也希望各位前辈提出意见帮我更好进步!!! 环境: python3.7 win7 cuda9.1 pytorch
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