Pararth Shah

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems

2018 · arXiv (Cornell University)

In this work, we present a hybrid learning method for training task-oriented dialogue systems through online user interactions. Popular methods for learning task-oriented dialogues include applying reinforcement learning with user feedback on supervised pre-training models. …

OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs

2019

We study a conversational reasoning model that strategically traverses through a largescale common fact knowledge graph (KG) to introduce engaging and contextually diverse entities and attributes. For this study, we collect a new Open-ended Dialog …

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 …