Fewrel2.0
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Fewrel2.0
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Web版权所有 © 叽哩叽哩 本站不提供任何视听上传与资源下载服务,所有内容均来自网络资源分享站点所提供的公开引用资源 ... WebWe present FewRel 2.0, a more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of instances? (2) Can they detect none-of-the …
Weband Yu 2024). Gao et al. (2024) built up FewRel2.0 for few-shot RC with two real-world issues, i.e., few-shot domain adaptation and few-shot none-of-the-above detection. Bal-dini Soares et al. (2024) employed a simple prototype ap-proach for a CNN-based system. What’s more, a more in-depth analysis (Brody, Wu, and Benton 2024) is performed WebApr 26, 2024 · Experimental results on FewRel2.0-DA dataset demonstrate that our proposed method achieves strong performance, which can improve the best reported …
WebSep 26, 2024 · Extensive experiments on FewRel and FewRel2.0 public datasets are conducted and evaluate the effectiveness of BMAN. Few-shot relation extraction is used …
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