Search Results for author: Hoonsang Yoon

Found 3 papers, 0 papers with code

DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training

no code implementations8 Jul 2022 Yukyung Lee, Takyoung Kim, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim

Dialogue State Tracking (DST) is critical for comprehensively interpreting user and system utterances, thereby forming the cornerstone of efficient dialogue systems.

Dialogue State Tracking named-entity-recognition +1

Mismatch between Multi-turn Dialogue and its Evaluation Metric in Dialogue State Tracking

no code implementations ACL 2022 Takyoung Kim, Hoonsang Yoon, Yukyung Lee, Pilsung Kang, Misuk Kim

Dialogue state tracking (DST) aims to extract essential information from multi-turn dialogue situations and take appropriate actions.

Dialogue State Tracking

Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances

no code implementations28 Aug 2021 Takyoung Kim, Yukyung Lee, Hoonsang Yoon, Pilsung Kang, Junseong Bang, Misuk Kim

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.

Dialogue State Tracking

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