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20192022
most citedModeling Long Context for Task-Oriented Dialogue State Generation

2 citations · 3 across the 5 of their papers we have counts for

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cs.CL2021

Integrating Pre-trained Model into Rule-based Dialogue Management

Jun Quan, Meng Yang, Qiang Gan +9

Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility. However, it is hard for developers to m…

cs.CL2020

RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling

Jun Quan, Shian Zhang, Qian Cao +2

In order to alleviate the shortage of multi-domain data and to capture discourse phenomena for task-oriented dialogue modeling, we propose RiSAWOZ, a large-scale multi-domain Chine…

cs.CL20202 cited

Modeling Long Context for Task-Oriented Dialogue State Generation

Jun Quan, Deyi Xiong

Based on the recently proposed transferable dialogue state generator (TRADE) that predicts dialogue states from utterance-concatenated dialogue context, we propose a multi-task lea…

cs.CL20191 cited

Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue

Jun Quan, Deyi Xiong

The training of task-oriented dialogue systems is often confronted with the lack of annotated data. In contrast to previous work which augments training data through expensive crow…

cs.CL2019

GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue

Jun Quan, Deyi Xiong, Bonnie Webber +1

Ellipsis and co-reference are common and ubiquitous especially in multi-turn dialogues. In this paper, we treat the resolution of ellipsis and co-reference in dialogue as a problem…