Papers with reranking stage

1 papers
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding (N18-3)

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Challenge: Existing approaches to classify a given utterance into domains are costly and time-consuming.
Approach: They propose a shortlisting-reranking neural model for large-scale domain classification for IPDAs . they use extensive experiments on 1,500 IPDA domains to test their effectiveness .
Outcome: The proposed model is tested on 1,500 IPDA domains.

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