Performance of named entity recognition using SVM learn-to-rank (SVM+LTR) for all entities in the cross-validation test and unique entities only.
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Each horizontal row shows Precision, Recall and F-score performance for a class using alternative methods. Unique Rate shows the percentage of unique entity mentions seen in the cross-validation test for each class. ALL shows micro-averaged F-score.
每行展示了采用不同方法时,单个类别的精确率(Precision)、召回率(Recall)与F分数(F-score)的性能表现。唯一提及率(Unique Rate)用于表征各分类在交叉验证测试中出现的唯一实体提及(entity mentions)所占百分比。ALL项展示微平均F分数(micro-averaged F-score)。
创建时间:
2015-12-02



