Tom Young — accepted AI-conference papers

2022

Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents

Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria

AAAI 2022technical

The goal of building intelligent dialogue systems has largely been separately pursued under two paradigms: task-oriented dialogue (TOD) systems, which perform task-specific functions, and open-domain dialogue (ODD) systems, which focus on non-goal-oriented chitchat. The two dialogue modes can potent…

Cited by 69 Source ↗PDF ↗code ↗Scholar ↗

2022

HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning

Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria

AAAI 2022technical

Human conversations are guided by short-term and long-term goals. We study how to plan short-term goal sequences as coherently as humans do and naturally direct them to an assigned long-term goal in open-domain conversations. Goal sequences are a series of knowledge graph (KG) entity-relation connec…

Cited by 34 Source ↗PDF ↗Scholar ↗