Papers by Lianqiang Zhou

2 papers
Context-Sensitive Generation of Open-Domain Conversational Responses (C18-1)

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Challenge: Existing studies on single-turn conversation generation focus on coherence and context-sensitive generation of open-domain conversational responses.
Approach: They propose static and dynamic attention based approaches for context-sensitive generation of open-domain conversational responses.
Outcome: The proposed model outperforms all baselines on automatic and human evaluation on two public datasets.
Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration (D19-1)

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Challenge: Experimental results show that restoring incomplete utterances from context improves the performance of open-domain dialogue systems.
Approach: They propose to use a dataset to restore incomplete utterances from context . they propose to pick and combine the data to restore the incomplete .
Outcome: The proposed model significantly boosts response quality of open-domain dialogue systems.

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