Philip L. H. Yu

User Memory Reasoning for Conversational Recommendation

2020

We study an end-to-end approach for conversational recommendation that dynamically manages and reasons over users' past (offline) preferences and current (online) requests through a structured and cumulative user memory knowledge graph. This formulation extends existing …

Joint Slot Filling and Intent Detection via Capsule Neural Networks

2019

Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling and intent detection separately in …