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有两种划分方式:1. 标签级的测试集划分;2. 句子级的测试集划分。如对于一条样本有(IA,EO)和(EA,EO)两种标签,第一种会在评估的时候分别将两个标签的预测结果加到不同子集的tp,fp,fn;第二种会使测试集有小部分重合,只是setting更符合实际。论文中使用的是第二种。
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Related Issues (16)
- issues for step1 eval_metrics.py HOT 3
- 脚本文件运行错误 HOT 4
- 关于超参数 HOT 3
- How to prepare inference script from model output HOT 5
- annotation tools HOT 3
- 现有方法是不是已经被超过了? HOT 1
- 如何使用训练好的模型进行预测 HOT 5
- environment configuration HOT 2
- Issues for run_step2.py HOT 6
- Issues for get_1st_pairs.py HOT 2
- 请问第一阶段预测出来的CRF结果中的aspect和opinion怎么配对的? HOT 4
- 数据集aspect,opinion, AO pair规模问题 HOT 1
- pickle.UnpicklingError HOT 1
- 关于数据集的疑问 HOT 2
- 关于step2编码问题 HOT 4
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