3 papers
cs.DB2024
Towards Agentic Schema Refinement
Agapi Rissaki, Ilias Fountalis, Nikolaos Vasiloglou +1
Large enterprise databases can be complex and messy, obscuring the data semantics needed for analytical tasks. We propose a semantic layer in-between the database and the user as a…
cs.DB2024
QirK: Question Answering via Intermediate Representation on Knowledge Graphs
Jan Luca Scheerer, Anton Lykov, Moe Kayali +4
We demonstrate QirK, a system for answering natural language questions on Knowledge Graphs (KG). QirK can answer structurally complex questions that are still beyond the reach of e…
cs.LG2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations
Yaojie Hu, Ilias Fountalis, Jin Tian +1
Tabular data is ubiquitous in real-world applications and abundant on the web, yet its annotation has traditionally required human labor, posing a significant scalability bottlenec…