An Entity Linking Agent for Question Answering
Researchers have developed a new entity linking agent designed to improve question answering systems by more effectively connecting natural language mentions to knowledge base entries. This agent, built upon a large language model, mimics human cognitive processes to identify entity mentions, retrieve candidates, and make linking decisions. Experiments demonstrated the agent's robustness and effectiveness in both tool-based entity linking and overall question answering tasks. AI
IMPACT Improves accuracy in question-answering systems by enhancing the critical entity linking step.