Papers with segment-based

1 papers
Modularized Interaction Network for Named Entity Recognition (2021.acl-long)

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Challenge: Named Entity Recognition (NER) models focus on word-level information, while segment-based models focus only on word level information.
Approach: They propose a Modularized Interaction Network (MIN) model which utilizes both word-level information and segment-level dependencies.
Outcome: The proposed model outperforms the current state-of-the-art models on three NER benchmark datasets.

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