Papers with UFET dataset

2 papers
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing (2022.emnlp-main)

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Challenge: Existing entity typing models are subject to spurious correlations due to shortcuts and biased training.
Approach: They propose a method to augment existing model biases by combining spurious correlations with debiasedcounterparts to improve generalization.
Outcome: The proposed method improves generalization of different entity typing models on the original and debiased test sets.
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing (2023.findings-emnlp)

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Challenge: CASENT predicts ultra-fine entities mentioned in text into types with calibrated confidence scores.
Approach: They propose a model that predicts ultra-fine entities with calibrated confidence scores for entity typing.
Outcome: The proposed model outperforms existing models in terms of F1 score and calibration error while achieving 50 times faster inference speed.

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