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Found 4 papers, 1 papers with code
Column Vocabulary Association (CVA): semantic interpretation of dataless tables
In this study, we evaluate the performance of various methods in executing the CVA task, including a Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) approach, as well as a more traditional similarity approach with SemanticBERT.
Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
First, our pipeline applies weakly supervised classifiers to recognize the type of tables and columns, with the help of a data labeling system and an ontology specifically designed for our purpose.
Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version)
We propose a new end-to-end method for extending a Knowledge Graph (KG) from tables.
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