31 citations · 31 across the 1 of their papers we have counts for
3 papers
cs.CL2019
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering
Li Zhou, Kevin Small
Multi-domain dialogue state tracking (DST) is a critical component for conversational AI systems. The domain ontology (i.e., specification of domains, slots, and values) of a conve…
cs.LG2018
Active Learning in Recommendation Systems with Multi-level User Preferences
Yuheng Bu, Kevin Small
While recommendation systems generally observe user behavior passively, there has been an increased interest in directly querying users to learn their specific preferences. In such…
cs.AI2017★ 31 cited
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient
Li Zhou, Kevin Small, Oleg Rokhlenko +1
Learning a goal-oriented dialog policy is generally performed offline with supervised learning algorithms or online with reinforcement learning (RL). Additionally, as companies acc…