Papers by Tiandeng Wu

1 papers
Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition (2023.findings-acl)

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Challenge: Existing work on few-shot named entity recognition (NER) addresses flat entities instead of nested entities.
Approach: They propose a method based on focusing, bridging and prompting for few-shot nested NER without using source domain data.
Outcome: The proposed method outperforms baseline models on four benchmark datasets and outperformed several competing models on F1-score by 9.33% on ACE2004, 6.17% on ace2005, 9.40% on GENIA and 5.12% on KBP2017.

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