Papers with IntentCapsNet-ZSL

1 papers
Zero-shot User Intent Detection via Capsule Neural Networks (D18-1)

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Challenge: Existing methods to classify intents are labor-intensive and time-consuming as intents will be diverse and new intents may be involved.
Approach: They propose a zero-shot intent detection problem which aims to detect emerging user intents where no labeled utterances are currently available.
Outcome: The proposed model can discriminate emerging intents when no labeled utterances are available in training data.

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