arXiv Artificial Intelligence

Enhancing Event Candidate Acquisition for Event Linking

1 day ago 15.09.2026 07:00 👁 2 views
Enhancing Event Candidate Acquisition for Event Linking

Quick summary

arXiv:2609.13670v1 Announce Type: new Abstract: Event linking associates event mentions in text with entries in a knowledge base (KB), or identifies them as out-of-KB events. Although existing methods use different architectures, candidate event acquisition can still be weakened by short ambiguous mentions, noisy arguments, and evidence that is unevenly useful for retrieval. We present MACE, a Multi-Agent Candidate Event acquisition method that refines event structure before linking. MACE uses evidence-specialized LLM agents to acquire time, location, participant, and event-type evidence, expo

Key takeaways

  • arXiv:2609.13670v1 Announce Type: new Abstract: Event linking associates event mentions in text with entries in a knowledge base (KB), or identifies them as out-of-KB events.
  • Although existing methods use different architectures, candidate event acquisition can still be weakened by short ambiguous mentions, noisy arguments, and evidence that is unevenly useful for retrieval.
  • We present MACE, a Multi-Agent Candidate Event acquisition method that refines event structure before linking.

Why it matters

“Enhancing Event Candidate Acquisition for Event Linking” signals where capital and distribution power are moving in the AI market. Product continuity, pricing, workforce skills and the competitive options available to startups may all be affected.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗