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A Comparative Study of Faithfulness Metrics for Model Interpretability Methods
Interpretation methods to reveal the internal reasoning processes behind machine learning models have attracted increasing attention in recent years.
Improving Model Generalization: A Chinese Named Entity Recognition Case Study
Specifically, we analyzed five benchmarking datasets for Chinese NER, and observed the following two types of data bias that can compromise model generalization ability.
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