Ali M. Naderi, Horacio Rodríguez, and Jordi Turmo

Topic Modeling for Entity Linking Using Keyphrase

Abstract: 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.

1 Introduction

Recently, the needs of world knowledge for Artificial Intelligence applications are highly increasing. As a part of world knowledge, Knowledge Bases (KB) are appropriate for both human and machine readability, involved to keep and categorize entities and their relations. The KB profits by improving the ability of obtaining more amount of discriminative ...

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