Global-Locally Self-Attentive Dialogue State Tracker

19 May 2018Victor ZhongCaiming XiongRichard Socher

Dialogue state tracking, which estimates user goals and requests given the dialogue context, is an essential part of task-oriented dialogue systems. In this paper, we propose the Global-Locally Self-Attentive Dialogue State Tracker (GLAD), which learns representations of the user utterance and previous system actions with global-local modules... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Dialogue State Tracking Second dialogue state tracking challenge Zhong et al. Request 97.5 # 1
Area - # 3
Food - # 3
Price - # 4
Joint 74.5 # 2
Dialogue State Tracking Wizard-of-Oz Zhong et al. Request 97.1 # 1
Joint 88.1 # 3