Papers with supervised NER model

1 papers
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning (2020.emnlp-main)

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Challenge: Named entity recognition (NER) is widely adopted in several domains, such as news, medical, and social media.
Approach: They propose a few-shot named entity recognition system based on nearest neighbor learning and structured inference.
Outcome: The proposed method improves F1 scores on standard few-shot NER evaluation tasks by 6% to 16% relative to previous methods.

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