ChronoSynth: Constraint-Aware Question Synthesis over Temporal Knowledge Graphs
Read the original on arXiv Computation and Language →ChronoSynth is a new framework for generating natural‑language questions from temporal knowledge graphs while preserving essential constraints such as answer field, time condition, reference event, and temporal order. It introduces a Temporal Intent State to make question semantics explicit, retrieves compatible typed patterns from a memory, adapts them to the input graph, and validates the output, using feedback to revise any inconsistencies. Experiments on CRONQUESTIONS and MultiTQ show that ChronoSynth achieves state‑of‑the‑art performance, with ablation studies confirming the effectiveness of its components.
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