This paper proposes an Entity Linking system that applies a topic modeling ranking. We apply a novel approach in order to provide new relevant elements to the model. These elements are keyphrases related to the queries and gathered from a huge Wikipedia-based knowledge resource
CitationMehdizadeh, A.; Rodriguez, H.; Turmo, J. Topic modeling for entity linking using keyphrase. A: International Workshop on Natural Language Processing and Cognitive Science. "Proceedings of the 11th International Workshop on Natural Language Processing and Cognitive Science". Venecia: 2014, p. 1-12.
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