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Found 4 papers, 1 papers with code
Exploring 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 Table Topic Detection.
Ranked #3 on
Columns Property Annotation
on WDC SOTAB V2
An approach based on Open Research Knowledge Graph for Knowledge Acquisition from scientific papers
Metadata provides a brief overview of the paper while the Full-body text contains key-insights that can be valuable to fellow researchers.
Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
In this paper, we present Text2KGBench, a benchmark to evaluate the capabilities of language models to generate KGs from natural language text guided by an ontology.
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text
Knowledge graphs can represent information about the real-world using entities and their relations in a structured and semantically rich manner and they enable a variety of downstream applications such as question-answering, recommendation systems, semantic search, and advanced analytics.
