565 citations · 1.1k across the 33 of their papers we have counts for
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Multi-task learning for Joint Language Understanding and Dialogue State Tracking
Abhinav Rastogi, Raghav Gupta, Dilek Hakkani-Tur
This paper presents a novel approach for multi-task learning of language understanding (LU) and dialogue state tracking (DST) in task-oriented dialogue systems. Multi-task training…
An Efficient Approach to Encoding Context for Spoken Language Understanding
Raghav Gupta, Abhinav Rastogi, Dilek Hakkani-Tur
In task-oriented dialogue systems, spoken language understanding, or SLU, refers to the task of parsing natural language user utterances into semantic frames. Making use of context…
Building a Conversational Agent Overnight with Dialogue Self-Play
Pararth Shah, Dilek Hakkani-Tür, Gokhan Tür +4
We propose Machines Talking To Machines (M2M), a framework combining automation and crowdsourcing to rapidly bootstrap end-to-end dialogue agents for goal-oriented dialogues in arb…
Scalable Multi-Domain Dialogue State Tracking
Abhinav Rastogi, Dilek Hakkani-Tur, Larry Heck
Dialogue state tracking (DST) is a key component of task-oriented dialogue systems. DST estimates the user's goal at each user turn given the interaction until then. State of the a…