Gao Qixiang — accepted AI-conference papers

2023

Value type: the bridge to a better DST model

Gao Qixiang, Mingyang Sun, Yutao Mou, Chen Zeng, Weiran Xu

ACL 2023findings

Value type of the slots can provide lots of useful information for DST tasks. However, it has been ignored in most previous works. In this paper, we propose a new framework for DST task based on these value types. Firstly, we extract the type of token from each turn. Specifically, we divide the slot…

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2022

Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking

Gao Qixiang, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo +2

EMNLP 2022main

Collecting dialogue data with domain-slot-value labels for dialogue state tracking (DST) could be a costly process. In this paper, we propose a novel framework based on domain-slot related description to tackle the challenge of few-shot cross-domain DST. Specifically, we design an extraction module…

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