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03/15/2023
PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
Research interest in task-oriented dialogs has increased as systems such...
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04/14/2022
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning
Semantic parsing (SP) is a core component of modern virtual assistants l...
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11/10/2020
Resource Constrained Dialog Policy Learning via Differentiable Inductive Logic Programming
Motivated by the needs of resource constrained dialog policy learning, w...
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05/30/2020
User Memory Reasoning for Conversational Recommendation
We study a conversational recommendation model which dynamically manages...
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09/09/2019
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue
Traditional recommendation systems produce static rather than interactiv...
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11/11/2018
User Modeling for Task Oriented Dialogues
We introduce end-to-end neural network based models for simulating users...
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05/16/2018
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning
Understanding and following directions provided by humans can enable rob...
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04/18/2018
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems
In this work, we present a hybrid learning method for training task-orie...
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01/15/2018
Building a Conversational Agent Overnight with Dialogue Self-Play
We propose Machines Talking To Machines (M2M), a framework combining aut...
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12/22/2017
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
We present a framework combining hierarchical and multi-agent deep reinf...
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11/29/2017
