SOTAVerified

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.

Papers

Showing 110 of 34 papers

TitleStatusHype
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type AnnotationCode1
Column Property Annotation using Large Language ModelsCode1
ACCIO: Table Understanding Enhanced via Contrastive Learning with AggregationsCode0
RACOON: An LLM-based Framework for Retrieval-Augmented Column Type Annotation with a Knowledge Graph0
KGLink: A column type annotation method that combines knowledge graph and pre-trained language modelCode0
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
TorchicTab: Semantic Table Annotation with Wikidata and Language Models0
DREIFLUSS: A Minimalist Approach for Table Matching0
Exploring Naive Bayes Classifiers for Tabular Data to Knowledge Graph Matching0
Show:102550
← PrevPage 1 of 4Next →

No leaderboard results yet.