3 citations · 7 across the 4 of their papers we have counts for
4 papers
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
Yongkang Liu, Shi Feng, Wei Gao +2
Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms. Although promising results have been ac…
Deep Understanding based Multi-Document Machine Reading Comprehension
Feiliang Ren, Yongkang Liu, Bochao Li +7
Most existing multi-document machine reading comprehension models mainly focus on understanding the interactions between the input question and documents, but ignore following two…
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…
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph
Feiliang Ren, Yining Hou, Yan Li +8
Knowledge graph is a kind of valuable knowledge base which would benefit lots of AI-related applications. Up to now, lots of large-scale knowledge graphs have been built. However,…