77 citations · 732 across the 55 of their papers we have counts for
4 papers · 1 filter
Discovering Conversational Dependencies between Messages in Dialogs
Wenchao Du, Pascal Poupart, Wei Xu
We investigate the task of inferring conversational dependencies between messages in one-on-one online chat, which has become one of the most popular forms of customer service. We…
Deep Active Learning for Dialogue Generation
Nabiha Asghar, Pascal Poupart, Xin Jiang +1
We propose an online, end-to-end, neural generative conversational model for open-domain dialogue. It is trained using a unique combination of offline two-phase supervised learning…
Online and Distributed learning of Gaussian mixture models by Bayesian Moment Matching
Priyank Jaini, Pascal Poupart
The Gaussian mixture model is a classic technique for clustering and data modeling that is used in numerous applications. With the rise of big data, there is a need for parameter e…
A Unified Approach for Learning the Parameters of Sum-Product Networks
Han Zhao, Pascal Poupart, Geoff Gordon
We present a unified approach for learning the parameters of Sum-Product networks (SPNs). We prove that any complete and decomposable SPN is equivalent to a mixture of trees where…