2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 2 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.CL2019★ 1 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…