Few-shot Name Entity Recognition on StackOverflow
<|reference_start|>Few-shot Name Entity Recognition on StackOverflow: StackOverflow, with its vast question repository and limited labeled examples, raise an annotation challenge for us. We address this gap by proposing RoBERTa+MAML, a few-shot named entity recognition (NER) method leveraging meta-learning. Our approach, evaluated on the StackOverflow NER corpus (27 entity types), achieves a 5% F1 score improvement over the baseline. We improved the results further domain-specific phrase processing enhance results.<|reference_end|>
@article{chen2024few-shot,
    title={Few-shot Name Entity Recognition on StackOverflow},
    author={Xinwei Chen, Kun Li, Tianyou Song, Jiangjian Guo},
    journal={arXiv preprint arXiv:2404.09405},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.09405},
    primaryClass={cs.CL cs.AI}
}