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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 26–50 of 300 papers

TitleStatusHype
Effective Sequence-to-Sequence Dialogue State TrackingCode1
MConv: An Environment for Multimodal Conversational Search across Multiple DomainsCode1
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTrackingCode1
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based SimulationCode1
KLUE: Korean Language Understanding EvaluationCode1
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State TrackingCode1
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State TrackingCode1
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking EvaluationCode1
Slot Self-Attentive Dialogue State TrackingCode1
Few Shot Dialogue State Tracking using Meta-learningCode1
Structured Prediction as Translation between Augmented Natural LanguagesCode1
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic ParsingCode1
A Sequence-to-Sequence Approach to Dialogue State TrackingCode1
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated DistributionsCode1
Jointly Optimizing State Operation Prediction and Value Generation for Dialogue State TrackingCode1
CoCo: Controllable Counterfactuals for Evaluating Dialogue State TrackersCode1
RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue ModelingCode1
MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotationCode1
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue SystemsCode1
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue SystemsCode1
A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk RepresentationCode1
Grounded Adaptation for Zero-shot Executable Semantic ParsingCode1
A Simple Language Model for Task-Oriented DialogueCode1
Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State TrackingCode1
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueCode1
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