1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users
Yohan Jo, Xinyan Zhao, Arijit Biswas +5
While most task-oriented dialogues assume conversations between the agent and one user at a time, dialogue systems are increasingly expected to communicate with multiple users simu…
cs.CV2021★ 1 cited
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiao Lin, Meng Ye, Yunye Gong +4
Adapting pre-trained representations has become the go-to recipe for learning new downstream tasks with limited examples. While literature has demonstrated great successes via repr…
cs.CL2020★ 1 cited
Zero-shot Multi-Domain Dialog State Tracking Using Descriptive Rules
Edgar Altszyler, Pablo Brusco, Nikoletta Basiou +2
In this work, we present a framework for incorporating descriptive logical rules in state-of-the-art neural networks, enabling them to learn how to handle unseen labels without the…