Paper: Graph Ranking for Collective Named Entity Disambiguation

ACL ID P14-2013
Title Graph Ranking for Collective Named Entity Disambiguation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

Named Entity Disambiguation (NED) refers to the task of mapping different named entity mentions in running text to their correct interpretations in a specific knowledge base (KB). This paper presents a collective disambiguation approach us- ing a graph model. All possible NE candi- dates are represented as nodes in the graph and associations between different candi- dates are represented by edges between the nodes. Each node has an initial confidence score, e.g. entity popularity. Page-Rank is used to rank nodes and the final rank is combined with the initial confidence for candidate selection. Experiments on 27,819 NE textual mentions show the ef- fectiveness of using Page-Rank in con- junction with initial confidence: 87% ac- curacy is achieved, outperforming both baseline and state-of-t...