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Dialogue State Tracking

Dialogue state tacking consists of determining at each turn of a dialogue the full representation of what the user wants at that point in the dialogue, which contains a goal constraint, a set of requested slots, and the user's dialogue act.

Papers

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Showing 131–140 of 300 papers

TitleStatusHype
Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking—0
Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration—0
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation NetworksCode0
Saliency-based Multi-View Mixed Language Training for Zero-shot Cross-lingual Classification—0
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data AugmentationCode0
Amendable Generation for Dialogue State TrackingCode0
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking—0
Few-Shot Bot: Prompt-Based Learning for Dialogue SystemsCode1
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue SystemsCode1
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue SystemCode1
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