Task-Oriented Dialogue Systems
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Greatest papers with code
A User Simulator for Task-Completion Dialogues
Then, one can train reinforcement learning agents in an online fashion as they interact with the simulator.
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
ACL 2019
• jasonwu0731/trade-dst
• 
Over-dependence on domain ontology and lack of knowledge sharing across domains are two practical and yet less studied problems of dialogue state tracking.
DIALOGUE STATE TRACKING TASK-ORIENTED DIALOGUE SYSTEMS TRANSFER LEARNING
Global-Locally Self-Attentive Dialogue State Tracker
Dialogue state tracking, which estimates user goals and requests given the dialogue context, is an essential part of task-oriented dialogue systems.
#2 best model for
Dialogue State Tracking
on Second dialogue state tracking challenge
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts
We propose a neural Modular Task-oriented Dialogue System(MTDS) framework, in which a few expert bots are combined to generate the response for a given dialogue context.
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems
To address this challenge, we propose a hybrid imitation and reinforcement learning method, with which a dialogue agent can effectively learn from its interaction with users by learning from human teaching and feedback.
#4 best model for
Dialogue State Tracking
on Second dialogue state tracking challenge
DIALOGUE STATE TRACKING IMITATION LEARNING TASK-ORIENTED DIALOGUE SYSTEMS
Scalable Multi-Domain Dialogue State Tracking
We introduce a novel framework for state tracking which is independent of the slot value set, and represent the dialogue state as a distribution over a set of values of interest (candidate set) derived from the dialogue history or knowledge.
DIALOGUE STATE TRACKING TASK-ORIENTED DIALOGUE SYSTEMS TRANSFER LEARNING
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures
ACL 2018
• WING-NUS/sequicity
•
Existing solutions to task-oriented dialogue systems follow pipeline designs which introduces architectural complexity and fragility.
Knowledge Diffusion for Neural Dialogue Generation
Our empirical study on a real-world dataset prove that our model is capable of generating meaningful, diverse and natural responses for both factoid-questions and knowledge grounded chi-chats.
DIALOGUE GENERATION QUESTION ANSWERING TASK-ORIENTED DIALOGUE SYSTEMS
Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
• zliucr/mixed-language-training
•
Recently, data-driven task-oriented dialogue systems have achieved promising performance in English.
DIALOGUE STATE TRACKING INTENT DETECTION SLOT FILLING TASK-ORIENTED DIALOGUE SYSTEMS
Flexibly-Structured Model for Task-Oriented Dialogues
WS 2019
• uber-research/FSDM
•
It is based on a simple and practical yet very effective sequence-to-sequence approach, where language understanding and state tracking tasks are modeled jointly with a structured copy-augmented sequential decoder and a multi-label decoder for each slot.