Papers by Lincy Pattanaik

1 papers
Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction (2024.findings-eacl)

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Challenge: Scientific domain-specific pre-training has led to state-of-the-art keyphrase extraction performance with a majority of benchmarks being within the domain.
Approach: They propose to leverage topic information available in the data to build a clustering-based sampling approach that facilitates selecting a few samples to label from the target domain .
Outcome: The proposed approach leads to 26.35 points in performance when compared to selecting few-shot samples uniformly at random.

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