Zero-shot User Intent Detection via Capsule Neural Networks
- Architecture
- SemanticCaps
通过Bi-LSTM表征得到的隐层向量经过multi-head后可以得到R个表征
- DetectionCaps
这部分和一般的胶囊网络一样，除了loss function中加入了self attention部分
- Zero-shot DetectionCaps
基本过程和DetectionCaps很相似,计算DetectionCaps中已存在的existing intent和当前inference阶段emerging intent的相似度q,然后加权求和，squash后得到activation vector进行分类
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