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Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471

Python 100.00%
capsule-neural-networks intent-detection slot-filling natural-language-understanding deep-learning tensorflow acl2019

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capsule-nlu's Issues

atis数据集模型参数应如何设置

我这边论文复现,snips数据集按照论文的参数设置,效果能达到预期效果,但是atis数据集的Overall Acc只能达到0.704,与之对应的Intent Acc只有0.776,并且训练过程intent loss 一直震荡不收敛,已经尝试了不同的学习率和优化器,效果均达不到论文水平,请问一下作者论文关于atis数据集的超参是怎么设置的,在此十分感谢!!

about the result

Training Epoch 1: 70it [21:39, 18.56s/it]
2023-04-30 22:07:22,768 : INFO : Step: 140
2023-04-30 22:07:22,770 : INFO : Epochs: 2
2023-04-30 22:07:22,770 : INFO : Slot Loss: nan
2023-04-30 22:07:22,770 : INFO : Intent Loss: nan
...
2023-04-30 22:08:42,015 : INFO : slot f1: 0
2023-04-30 22:08:42,015 : INFO : intent accuracy: 71.04377104377105
2023-04-30 22:08:42,015 : INFO : semantic error(intent, slots are all correct): 0.0
could you have a check why the result like this?

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