Task-Oriented Dialogue Systems Edit Task
Natural Language Processing • Dialogue
About
Achieving a pre-defined task through a dialog.
Benchmarks
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Datasets
Greatest papers with code
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset
TACL 2020
• fighting41love/funNLP
• 
To advance multi-domain (cross-domain) dialogue modeling as well as alleviate the shortage of Chinese task-oriented datasets, we propose CrossWOZ, the first large-scale Chinese Cross-Domain Wizard-of-Oz task-oriented dataset.
A User Simulator for Task-Completion Dialogues
Then, one can train reinforcement learning agents in an online fashion as they interact with the simulator.
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems
EMNLP 2020
• budzianowski/multiwoz
•
In this paper, we propose Minimalist Transfer Learning (MinTL) to simplify the system design process of task-oriented dialogue systems and alleviate the over-dependency on annotated data.
DIALOGUE STATE TRACKING TASK-ORIENTED DIALOGUE SYSTEMS TRANSFER LEARNING
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
ICLR 2021
• budzianowski/multiwoz
•
We test HDNO on MultiWoz 2. 0 and MultiWoz 2. 1, the datasets on multi-domain dialogues, in comparison with word-level E2E model trained with RL, LaRL and HDSA, showing improvements on the performance evaluated by automatic evaluation metrics and human evaluation.
HIERARCHICAL REINFORCEMENT LEARNING HIERARCHICAL STRUCTURE TASK-ORIENTED DIALOGUE SYSTEMS
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
We propose a novel mixture-of-generators network (MoGNet) for DRG, where we assume that each token of a response is drawn from a mixture of distributions.
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.
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
EMNLP 2018
• budzianowski/multiwoz
•
Even though machine learning has become the major scene in dialogue research community, the real breakthrough has been blocked by the scale of data available. To address this fundamental obstacle, we introduce the Multi-Domain Wizard-of-Oz dataset (MultiWOZ), a fully-labeled collection of human-human written conversations spanning over multiple domains and topics. At a size of 10k dialogues, it is at least one order of magnitude larger than all previous annotated task-oriented corpora. The contribution of this work apart from the open-sourced dataset is two-fold:firstly, a detailed description of the data collection procedure along with a summary of data structure and analysis is provided.
DECISION MAKING DIALOGUE MANAGEMENT SPEECH RECOGNITION TASK-ORIENTED DIALOGUE SYSTEMS TEXT GENERATION
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.
Ranked #11 on
Multi-domain Dialogue State Tracking
on MULTIWOZ 2.0
DIALOGUE STATE TRACKING MULTI-DOMAIN DIALOGUE STATE TRACKING TASK-ORIENTED DIALOGUE SYSTEMS TRANSFER LEARNING
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems
We present ConvLab-2, an open-source toolkit that enables researchers to build task-oriented dialogue systems with state-of-the-art models, perform an end-to-end evaluation, and diagnose the weakness of systems.
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.
DIALOGUE STATE TRACKING IMITATION LEARNING TASK-ORIENTED DIALOGUE SYSTEMS