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