Papers › Global-Locally Self-Attentive Dialogue State Tracker
Global-Locally Self-Attentive Dialogue State Tracker
Victor Zhong, Caiming Xiong, Richard 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. Our model uses global modules to share parameters between estimators for different types (called slots) of dialogue states, and uses local modules to learn slot-specific features. We show that this significantly improves tracking of rare states and achieves state-of-the-art performance on the WoZ and DSTC2 state tracking tasks. GLAD obtains 88.1% joint goal accuracy and 97.1% request accuracy on WoZ, outperforming prior work by 3.7% and 5.5%. On DSTC2, our model obtains 74.5% joint goal accuracy and 97.5% request accuracy, outperforming prior work by 1.1% and 1.0%.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Dialogue State Tracking | Second dialogue state tracking challenge | Zhong et al. | Area | - | #3 of 7 | Archive leaderboard | report |
| Dialogue State Tracking | Second dialogue state tracking challenge | Zhong et al. | Food | - | #3 of 7 | Archive leaderboard | report |
| Dialogue State Tracking | Second dialogue state tracking challenge | Zhong et al. | Joint | 74.5 | #3 of 7 | Archive leaderboard | report |
| Dialogue State Tracking | Second dialogue state tracking challenge | Zhong et al. | Price | - | #3 of 7 | Archive leaderboard | report |
| Dialogue State Tracking | Second dialogue state tracking challenge | Zhong et al. | Request | 97.5 | #3 of 7 | Archive leaderboard | report |
| Dialogue State Tracking | Wizard-of-Oz | Zhong et al. | Joint | 88.1 | #8 of 10 | Archive leaderboard | report |
| Dialogue State Tracking | Wizard-of-Oz | Zhong et al. | Request | 97.1 | #8 of 10 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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