Papers by Justin Kleindienst
SPOT: Zero-Shot Semantic Parsing Over Property Graphs (2025.findings-acl)
Copied to clipboard
| 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. |
ZOGRASCOPE: A New Benchmark for Semantic Parsing over Property Graphs (2025.findings-emnlp)
Copied to clipboard
| Challenge: | PGs are increasingly used in knowledge graphs, but they are underrepresented in research . a benchmark is designed specifically for PG and queries written in Cypher. |
| Approach: | They propose a benchmark specifically for PGs and queries written in Cypher. |
| Outcome: | The proposed benchmark is designed specifically for PGs and queries written in Cypher. |