arXiv cs.CL
· Papers
Beyond LLMs: A Linguistic Approach to Causal Graph Generation from Narrative Texts
arXiv:2504.07459v2 Announce Type: replace Abstract: We propose a novel framework for generating causal graphs from narrative texts, bridging high-level causality and detailed event-specific relationships. Our method first extracts concise, agent-centered vertices using large language model (LLM)-based summarization. We