ITNLP Entity Linking System at TAC 2013
نویسندگان
چکیده
This paper describes the ITNLP system participated in the Knowledge Base Population (KBP) track English Entity Linking task. Our Entity linking system is composed of three parts: candidate generation, candidate ranking and nil clustering. In the candidate generation process, the redirect pages and anchor texts in Wikipedia are utilized to generate candidate entities for the mentions. Ranking SVM is adopted to rank the candidates by a set of linguistic features. In the end, the hierarchical clustering algorithm is used to cluster those queries which return NIL in the ranking process.
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