Cell Entity Annotation
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Benchmarks
BiodivTab
ToughTables-DBP
ToughTables-WD
WikiTables-TURL-CEA
WikipediaGS
Most implemented
Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations
Towards an Approach based on Knowledge Graph Refinement for Tabular Data to Knowledge Graph Matching
JenTab Meets SemTab 2021's New Challenges
MAGIC: Mining an Augmented Graph using INK, starting from a CSV
Tough Tables: Carefully Evaluating Entity Linking for Tabular Data
TURL: Table Understanding through Representation Learning
Papers
An LLM Agent-Based Complex Semantic Table Annotation Approach
The Semantic Table Annotation (STA) task, which includes Column Type Annotation (CTA) and Cell Entity Annotation (CEA), maps table contents to ontology entities and plays important roles in various semantic applications.…
Cell Entity AnnotationColumn Type AnnotationExploring Naive Bayes Classifiers for Tabular Data to Knowledge Graph Matching
The present research investigates the use of Naive Bayes classifiers to match knowledge graphs and tabular data, with particular emphasis on Column Type Annotation, Cell Entity Annotation, Column Property Annotation and …
Cell Entity AnnotationColumns Property AnnotationColumn Type AnnotationGraph Matching+1Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations
With the emergence of single-cell foundation models, an important question arises: how do these models perform when trained on datasets having an imbalance in cell type distribution due to rare cell types or biased sampl…
Cell Entity Annotationimbalanced classificationLarge Language ModelSingle-cell modelingKGCODE-Tab Results for SemTab 2022
This paper presents the results of KGCODE-Tab in the tabular data to knowledge graph matching contest SemTab 2022. As an efficient tabular data linking system, KGCODE-Tab is intended to participate in three tasks of the …
Cell Entity AnnotationColumns Property AnnotationColumn Type AnnotationGraph MatchingFrom Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH
This paper presents DAGOBAH SL 2022, a semantic table interpretation system that has been continuously improved over the last four years when participating in the SemTab challenge. This year, we have improved the lookup …
Cell Entity AnnotationColumn Type AnnotationResults of SemTab 2022
SemTab 2022 was the fourth edition of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, successfully collocated with the 21st International Semantic Web Conference (ISWC) and the 17th Ontology Match…
Cell Entity AnnotationColumn Type AnnotationGraph MatchingOntology Matching