4 citations · 12 across the 7 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CL2021
A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
Shilei Liu, Xiaofeng Zhao, Bochao Li +3
Neural conversation models have shown great potentials towards generating fluent and informative responses by introducing external background knowledge. Nevertheless, it is laborio…
cs.CL2021
Knowledge-Grounded Dialogue with Reward-Driven Knowledge Selection
Shilei Liu, Xiaofeng Zhao, Bochao Li +1
Knowledge-grounded dialogue is a task of generating a fluent and informative response based on both conversation context and a collection of external knowledge, in which knowledge…
cs.CL2021★ 2 cited
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
Yongkang Liu, Shi Feng, Daling Wang +3
We investigate response selection for multi-turn conversation in retrieval-based chatbots. Existing studies pay more attention to the matching between utterances and responses by c…