Micro F1: 79.96
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Columns Property Annotation
Column Property Annotation (CPA) refers to the task of predicting the semantic relation between two columns and is a subtask of Table Annotation. The input of a CPA problem is most commonly a pair of columns, but can also be only one column. The labels used in CPA are properties from vocabularies. Some examples are name, price, datePublished etc.
CPA is usually a multi-class classification problem and is also referred to as column relation annotation or relation extraction in different works.
논문
F1 (%): 91.72
Micro F1: 17.39
Micro F1: 23.55
F1 (%): 81
Micro F1: 79.35
Micro F1: 87.11
F1 (%): 94.91
Macro-F1: 88.45