Abstract

Abstract Entity linking is to link entity's name mentions occurring in t ext to corresponding entities within knowledge bases. Since the same entity mention may refer to different entities according to their context, entity linking needs to deal with entity disambiguation. Most recent works on entity disambiguation focus on semantic related-ness between entities and attempt to integrate semantic related ness with entity prior probabilities and term co-occurrence. To the best of my knowledge, however, it is hard to find studies that analyze and present the pure effects of semantic relatedness on entity disambiguation. From the experimentation on Korean Wikipedia da-ta set, this article empirically evaluates entity disambiguation approaches using semantic relatedness in terms of the following aspects: (1) the difference among semantic relatedness measures such as NGD, PMI, Jaccard, Dice,Simpson, (2) the influence of ambiguities in co-occurring entity mentions' set, and (3) the difference between in-dividual and collective disambiguation approaches.Key Words : Entity Linking, Entity Disambiguation, Semantic Relatedness, WikipediaReceived: Nov. 5, 2014Revised : Feb. 16, 2015Accepted: Mar. 10, 2015

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