An Entity Linking Agent for Question Answering

• URL: http://arxiv.org/abs/2508.03865v2
• Date: Thu, 07 Aug 2025 17:36:04 GMT
• Title: An Entity Linking Agent for Question Answering
• Authors: Yajie Luo, Yihong Wu, Muzhi Li, Fengran Mo, Jia Ao Sun, Xinyu Wang, Liheng Ma, Yingxue Zhang, Jian-Yun Nie,
• Abstract summary: We propose an entity linking agent for Question Answering (QA) systems based on a Large Language Model that simulates human cognitive tasks.<n>The agent actively identifies entity mentions, retrieves candidate entities, and makes decision.<n>The results confirm the robustness and effectiveness of our agent.
• Score: 26.235591344527567
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Some Question Answering (QA) systems rely on knowledge bases (KBs) to provide accurate answers. Entity Linking (EL) plays a critical role in linking natural language mentions to KB entries. However, most existing EL methods are designed for long contexts and do not perform well on short, ambiguous user questions in QA tasks. We propose an entity linking agent for QA, based on a Large Language Model that simulates human cognitive workflows. The agent actively identifies entity mentions, retrieves candidate entities, and makes decision. To verify the effectiveness of our agent, we conduct two experiments: tool-based entity linking and QA task evaluation. The results confirm the robustness and effectiveness of our agent.

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