Papers with retrieval-based response matching

1 papers
Modeling Multi-turn Conversation with Deep Utterance Aggregation (C18-1)

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Challenge: Existing work on retrieval-based context modeling for multi-turn conversation ignores interactions among previous utterances.
Approach: They propose retrieval-based response matching for multi-turn conversation . they propose to combine previous utterances into context using a deep utterrance aggregation model .
Outcome: The proposed model outperforms state-of-the-art methods on three multi-turn conversation benchmarks including an e-commerce dialogue corpus.

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