Papers by Krishan Subudhi

1 papers
Few-Shot Named Entity Recognition: An Empirical Baseline Study (2021.emnlp-main)

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Challenge: Existing methods to build named entity recognition systems with limited labeled data are lacking.
Approach: They propose three orthogonal schemes to build named entity recognition systems when labeled data is limited.
Outcome: The proposed NER systems outperform existing methods on few-shot and training-free settings.

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