F1 (%): 7.00
Papers with Code · CC BY-SA 4.0
Column Type Annotation
Column type annotation (CTA) refers to the task of predicting the semantic type of a table column and is a subtask of Table Annotation. The labels that are usually used in a CTA problem are semantic types from vocabularies like DBpedia, Schema.org or WikiData. Some examples are: Book, Country, LocalBusiness etc.
CTA can be either treated as a multi-class classification problem where a column is annotated by only one semantic type or as multi-label classification problem where a column can be annotated using multiple semantic types.
논문
F1 (%): 4.1
F1 (%): 58.7
Macro-F1: 84.6
F1 (%): 46
F1 (%): 15.9
Micro F1: 84.82
Accuracy (%): 96.2
Macro-F1: 85.63
Weighted F1: 85.97
F1 (%): 94.9
Accuracy (%): 96.6
F1 (%): 36.6
Macro-F1: 75.6Weighted-F1: 90.2
Weighted-F1: 97.2
Towards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching
F1 (%): 76