Papers with KNCL objective

1 papers
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning (2022.emnlp-main)

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Challenge: Existing methods to detect out-of-domain (OOD) intents ignore alignment between representation learning and scoring function, limiting performance.
Approach: They propose a unified neighborhood learning framework to detect OOD intents . they propose to align representation learning with scoring function .
Outcome: The proposed method is able to detect out-of-domain (OOD) intents from user queries.

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