Papers with inferred intent representation

1 papers
Joint Slot Filling and Intent Detection via Capsule Neural Networks (P19-1)

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Challenge: Existing models that label slots and detect intent do not preserve hierarchical relationship between words, slots, and intents.
Approach: They propose a capsule-based neural network model which performs slot filling and intent detection via a dynamic routing-by-agreement schema.
Outcome: The proposed model performs better than existing models and existing models on real-world datasets.

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