Concepedia

Few-Shot Named Entity Recognition: An Empirical Baseline Study

Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · 97 citations · 65 references

Open access

Abstract

Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.

References

65

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.5K citations · Full text

Artificial Intelligence, Mathematical Programming, Model Optimization +14

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2018 · 45.3K citations · Full text

HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case

Yinhan Liu, Myle Ott, Naman Goyal et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2019 · 17.1K citations · Full text

Prototypical Networks for Few-shot Learning

Jake Snell, Kevin Swersky, Richard S. Zemel · arXiv (Cornell University) · 2017 · 5.2K citations · Full text

Artificial Intelligence, Few-shot Learning, Engineering +13

Neural Architectures for Named Entity Recognition

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian et al. · 2016 · 4.4K citations · Full text

Engineering, Recurrent Neural Network, Language Processing +16