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ljynlp / W2NER

Source code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification
MIT License
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训练结果评分解释 #103

Open qinglongheu opened 1 year ago

qinglongheu commented 1 year ago

+---------+--------+-----------+--------+ | TEST 99 | F1 | Precision | Recall | +---------+--------+-----------+--------+ | Label | 0.9227 | 0.8951 | 0.9538 | | Entity | 0.8365 | 0.7930 | 0.8850 | +---------+--------+-----------+--------+ 2023-08-04 12:49:16 - INFO: Best DEV F1: 0.9563 2023-08-04 12:49:16 - INFO: Best TEST F1: 0.8454 你好，我想问一下这个label和entity的评分有什么区别？和一般的ner任务最后的评分有什么不同？

fanjiaxin23 commented 1 year ago

@qinglongheu 您好，我没有得到实体结果；它为我打印 0 Entity | 0 | 0 | 0 |。您知道为什么会这样以及我该如何解决它吗？