NLPR_KBP in TAC 2009 KBP Track: A Two-Stage Method to Entity Linking
Xianpei Han, Jun Zhao · 2009
This paper describes the NLPR Knowledge Base Population system (NLPR_KBP) for the TAC 2009 KBP track. Our system employs a two-stage entity linking method, where the two stage corresponds to the two main components of our system: The first component is a Multi-way Entity Candidate detector, which identifies all the possible entities in the knowledge base for an entity mention based on a variety of knowledge sources, such as the Wikipedia Anchor Dictionary, the Web, etc. The second component is an Entity Linker, which links an entity mention with the real world entity it refers to by measuring the similarity between them based on the Wikipedia semantic knowledge. The evaluation proves the validity of our system. 1