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Template-free Prompt Tuning for Few-shot NER | Synapse

January 1, 2022Open Access

Template-free Prompt Tuning for Few-shot NER

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Resumen

Ruotian Ma, Xin Zhou, Tao Gui, Yiding Tan, Linyang Li, Qi Zhang, Xuanjing Huang. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Preguntar a la IA

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Cite This Study

Ma et al. (Sat,) studied this question.

synapsesocial.com/papers/6a056ae78bc215e9180b1415 https://doi.org/https://doi.org/10.18653/v1/2022.naacl-main.420

Also Consider

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1How Context Affects Language Models' Factual Predictions2020 · 41 citations
2Prototypical Networks for Few-shot Learning2017 · 5,208 citations
3Query understanding enhanced by hierarchical parsing structures2013 · 74 citations
4Few-shot Learning for Named Entity Recognition in Medical Text2018 · 55 citations
5LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER2021 · 26 citations