Zero-shot User Intent Detection via Capsule Neural Networks

@inproceedings{Xia2018ZeroshotUI,
  title={Zero-shot User Intent Detection via Capsule Neural Networks},
  author={Congying Xia and Chenwei Zhang and Xiaohui Yan and Yi Chang and Philip S. Yu},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2018}
}
User intent detection plays a critical role in question-answering and dialog systems. [] Key Method We propose two capsule-based architectures: INTENT-CAPSNET that extracts semantic features from utterances and aggregates them to discriminate existing intents, and INTENTCAPSNET-ZSL which gives INTENTCAPSNET the zero-shot learning ability to discriminate emerging intents via knowledge transfer from existing intents. Experiments on two real-world datasets show that our model not only can better discriminate…

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