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cs.CL2021
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations
Hongtao Ruan, Liying Zheng, Peixian Hu
State-of-the-art Named Entity Recognition(NER) models rely heavily on large amountsof fully annotated training data. However, ac-cessible data are often incompletely annotatedsince…
cs.CL2021
An Alignment-Agnostic Model for Chinese Text Error Correction
Liying Zheng, Yue Deng, Weishun Song +2
This paper investigates how to correct Chinese text errors with types of mistaken, missing and redundant characters, which is common for Chinese native speakers. Most existing mode…