Papers with calibrate slot representations

1 papers
Semi-supervised New Slot Discovery with Incremental Clustering (2022.findings-emnlp)

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Challenge: Existing methods to discover new slots rely on unsupervised slot induction or domain adaptation, and are limited in transferring prior knowledge to new slots.
Approach: They propose a Semi-supervised Incremental Clustering method to discover new slots with existing linguistic annotation models and limited known slot data.
Outcome: The proposed method significantly outperforms state-of-the-art models on five public datasets.

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