作者位次 #3/4ACL 2026Findings· Findings of ACL
Leveraging Label Semantics and Entity Description Generation for LLM -based Fine-grained Entity Typing
Yingying Ma · Hongliang Dai · Xia Zhang · Piji Li
摘要
Fine-grained entity typing (FET) aims to assign semantically rich and contextually appropriate types to entity mentions. While recent studies have explored the use of large language models (LLMs) for this task, two key challenges persist. First, FET typically involves a large number of entity typ...