Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization
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Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?

2 November 2023

Ngoc Dang Nguyen

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Papers citing "Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?"

11 / 11 papers shown

Title
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios Ngoc Dang Nguyen Lan Du Wray Buntine Changyou Chen Richard Beare 67 8 0 11 Nov 2022
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER Ran Zhou Xin Li Ruidan He Lidong Bing Min Zhang Luo Si Steven C. H. Hoi 73 99 0 31 Aug 2021
Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation Usama Yaseen Stefan Langer MedIm 46 15 0 26 Aug 2021
OVANet: One-vs-All Network for Universal Domain Adaptation Kuniaki Saito Kate Saenko 95 150 0 07 Apr 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan Yan Yan Milan Sonka Tianbao Yang AI4TS MedIm OOD 76 120 0 06 Dec 2020
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition Jaeyeon Jang Chang Ouk Kim UQCV 48 12 0 17 Apr 2020
BioBERT: a pre-trained biomedical language representation model for biomedical text mining Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang OOD 178 5,672 0 25 Jan 2019
A Survey on Deep Learning for Named Entity Recognition Junlin Li Aixin Sun Jianglei Han Chenliang Li 3DV 94 1,168 0 22 Dec 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 233 2,237 0 08 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
Neural Architectures for Named Entity Recognition Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer 221 4,015 0 04 Mar 2016