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DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training
Dialogue State Tracking (DST) is critical for comprehensively interpreting user and system utterances, thereby forming the cornerstone of efficient dialogue systems.
Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking
Dialogue state tracking (DST) aims to extract essential information from multi-turn dialogue situations and take appropriate actions.
Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances
The primary purpose of dialogue state tracking (DST), a critical component of an end-to-end conversational system, is to build a model that responds well to real-world situations.
Domain-slot Relationship Modeling using a Pre-trained Language Encoder for Multi-Domain Dialogue State Tracking
We propose a model for multi-domain dialogue state tracking that effectively models the relationship among domain-slot pairs using a pre-trained language encoder.
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