160 citations · 344 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
Saurabh Kumar, Pararth Shah, Dilek Hakkani-Tur +1
We present a framework combining hierarchical and multi-agent deep reinforcement learning approaches to solve coordination problems among a multitude of agents using a semi-decentr…
Towards Zero-Shot Frame Semantic Parsing for Domain Scaling
Ankur Bapna, Gokhan Tur, Dilek Hakkani-Tur +1
State-of-the-art slot filling models for goal-oriented human/machine conversational language understanding systems rely on deep learning methods. While multi-task training of such…