Papers with CoNDA

1 papers
Continuous Learning for Large-scale Personalized Domain Classification (N19-1)

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Challenge: Domain classification is the task to map spoken language utterances to one of the natural language understanding domains in intelligent personal digital assistants.
Approach: They propose a neural-based approach for continuous domain adaption with normalization and regularization to accommodate new domains.
Outcome: The proposed approach outperforms baseline methods on accommodated new domains and existing known domains by a large margin.

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