Papers with query program

1 papers
SPOT: Zero-Shot Semantic Parsing Over Property Graphs (2025.findings-acl)

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Challenge: Knowledge Graphs (KGs) are becoming increasingly popular as a means of storing structured data.
Approach: They propose a method to generate training data for semantic parsing over Property Graphs without human annotations by matching tree patterns to the KG and paraphrasing the query program with an LLM.
Outcome: The proposed method generates training data for parsing over Property Graphs without human annotations on two property graph benchmarks utilizing the Cypher query language.

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