Papers with sentence-level resampling methods

1 papers
Sentence-Level Resampling for Named Entity Recognition (2022.naacl-main)

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Challenge: named entity recognition (NER) tasks are often dominated by the majority of non-entity tokens in text . a data imbalance problem is causing the NER models to ignore named entities .
Approach: They propose a set of sentence-level resampling methods to reduce data imbalance . they use a training sentence to compute the importance of each training sentence based on its tokens and entities .
Outcome: The proposed methods outperform sub-sentence-level resampling, data augmentation, and loss functions on multiple corpora.

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