Open access
Jun 2026
Logic-Guided Data Extraction with Answer Set Programming and Large Language Models
A logic-guided data extraction framework combining LLM-based extraction with answer set programming (ASP), which reduces LLM calls and improves extraction quality by mitigating spurious outputs, demonstrating the value of non-monotonic logic programming for controlled semantic extraction.
Mario Alviano, Lorenzo Grillo, N. Leone et al.
· Theory and Practice of Logic... · 1 citation