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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.

Papers

Showing 111 of 11 papers

TitleStatusHype
Annotating Columns with Pre-trained Language ModelsCode1
Column Property Annotation using Large Language ModelsCode1
TURL: Table Understanding through Representation LearningCode1
Matching web tables to DBpedia-A feature utility studyCode0
SOTAB: The WDC Schema.org Table Annotation BenchmarkCode0
Exploring Naive Bayes Classifiers for Tabular Data to Knowledge Graph Matching0
Semantic Annotation of Tabular Data for Machine-to-Machine Interoperability via Neuro-Symbolic Anchoring0
Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation0
TorchicTab: Semantic Table Annotation with Wikidata and Language Models0
DREIFLUSS: A Minimalist Approach for Table Matching0
KGCODE-Tab Results for SemTab 20220
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