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Negative sampling for solving the unlabeled entity problem in NER. ICLR-2021 paper: Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition.

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按照[Readme](https://github.com/LeePleased/NegSampling-NER/blob/master/README.md#preparation)操作后出现此问题,请问应该怎么解决 ![image](https://user-images.githubusercontent.com/82627285/196097377-2a97829e-bb9e-486b-aa11-3839d68bf042.png) train、dev、test数据用的都是示例提供的数据 ``` [ { "sentence": "['Somerset', '83', 'and', '174', '(', 'P.', 'Simmons', '4-38', ')', ',', 'Leicestershire', '296', '.']", "labeled entities": "[(0, 0, 'ORG'), (5, 6, 'PER'), (10, 10,...

你好,论文里 Figure 4: The misguidance rates of BERT Tagging and our model. 的图好像有点问题,看起来 Our Model 的 misguidance rate 随着 Masking Prob 的提高,降低了