no code implementations • 1 Nov 2022 • Enwei Zhu, Yiyang Liu, Ming Jin, Jinpeng Li
However, existing nested NER models heavily rely on training data annotated with nested entities, while labeling such data is costly.
1 code implementation • 9 Oct 2022 • Enwei Zhu, Yiyang Liu, Jinpeng Li
However, this typically results in significant ineffectiveness for long-span entities, a coupling between the representations of overlapping spans, and ultimately a performance degradation.
no code implementations • 23 Aug 2022 • Penghua Zhai, Enwei Zhu, Baolian Qi, Xin Wei, Jinpeng Li
In the past five years, several works have tailored for unsupervised representations of CT lesions via two-dimensional (2D) and three-dimensional (3D) self-supervised learning (SSL) algorithms.
1 code implementation • ACL 2022 • Enwei Zhu, Jinpeng Li
Neural named entity recognition (NER) models may easily encounter the over-confidence issue, which degrades the performance and calibration.
Ranked #2 on Chinese Named Entity Recognition on Weibo NER
Chinese Named Entity Recognition named-entity-recognition +3
1 code implementation • 8 Mar 2022 • Enwei Zhu, Qilin Sheng, Huanwan Yang, Jinpeng Li
The resulted annotated corpus includes 1, 200 full medical records (or 18, 039 broken-down documents), and achieves inter-annotator agreements (IAAs) of 94. 53%, 73. 73% and 91. 98% F 1 scores for the three tasks.