53 citations · 127 across the 7 of their papers we have counts for
10 papers
Schema-Guided Dialogue State Tracking Task at DSTC8
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara +2
This paper gives an overview of the Schema-Guided Dialogue State Tracking task of the 8th Dialogue System Technology Challenge. The goal of this task is to develop dialogue state t…
The Eighth Dialog System Technology Challenge
Seokhwan Kim, Michel Galley, Chulaka Gunasekara +18
This paper introduces the Eighth Dialog System Technology Challenge. In line with recent challenges, the eighth edition focuses on applying end-to-end dialog technologies in a prag…
Extremely Small BERT Models from Mixed-Vocabulary Training
Sanqiang Zhao, Raghav Gupta, Yang Song +1
Pretrained language models like BERT have achieved good results on NLP tasks, but are impractical on resource-limited devices due to memory footprint. A large fraction of this foot…
Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset
Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara +2
Virtual assistants such as Google Assistant, Alexa and Siri provide a conversational interface to a large number of services and APIs spanning multiple domains. Such systems need t…
Robust Zero-Shot Cross-Domain Slot Filling with Example Values
Darsh J Shah, Raghav Gupta, Amir A Fayazi +1
Task-oriented dialog systems increasingly rely on deep learning-based slot filling models, usually needing extensive labeled training data for target domains. Often, however, littl…
Multi-task learning for Joint Language Understanding and Dialogue State Tracking
Abhinav Rastogi, Raghav Gupta, Dilek Hakkani-Tur
This paper presents a novel approach for multi-task learning of language understanding (LU) and dialogue state tracking (DST) in task-oriented dialogue systems. Multi-task training…