1 citations · 2 across the 4 of their papers we have counts for
4 papers
Stop Filtering: Multi-View Attribute-Enhanced Dialogue Learning
Yiwei Li, Bin Sun, Shaoxiong Feng +1
There is a growing interest in improving the conversational ability of models by filtering the raw dialogue corpora. Previous filtering strategies usually rely on a scoring method…
Diversifying Neural Dialogue Generation via Negative Distillation
Yiwei Li, Shaoxiong Feng, Bin Sun +1
Generative dialogue models suffer badly from the generic response problem, limiting their applications to a few toy scenarios. Recently, an interesting approach, namely negative tr…
Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders
Bin Sun, Shaoxiong Feng, Yiwei Li +2
Conditional Variational AutoEncoder (CVAE) effectively increases the diversity and informativeness of responses in open-ended dialogue generation tasks through enriching the contex…
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses
Bin Sun, Shaoxiong Feng, Yiwei Li +2
Many existing conversation models that are based on the encoder-decoder framework have focused on ways to make the encoder more complicated to enrich the context vectors so as to i…