Entity Linking with Distributional Semantics

Conference paper

DOI: 10.1007/978-3-319-41552-9_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9727)
Cite this paper as:
Gamallo P., Garcia M. (2016) Entity Linking with Distributional Semantics. In: Silva J., Ribeiro R., Quaresma P., Adami A., Branco A. (eds) Computational Processing of the Portuguese Language. PROPOR 2016. Lecture Notes in Computer Science, vol 9727. Springer, Cham

Abstract

Entity Linking (EL) consists in linking name mentions in a given text with their referring entities in external knowledge bases such as DBpedia/Wikipedia. In this paper, we propose an EL approach whose main contribution is to make use of a knowledge base built by means of distributional similarity. More precisely, Wikipedia is transformed into a manageable database structured with similarity relations between entities. Our EL method is focused on a specific task, namely semantic annotation of documents by extracting those relevant terms that are linked to nodes in DBpedia/Wikipedia. The method is currently working for four languages. The Portuguese and English versions have been evaluated and compared against other EL systems, showing competitive range, close to the best systems.

Keywords

Entity linking Semantic annotation Term extraction 

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS)Universidade de Santiago de CompostelaGalizaSpain
  2. 2.Grupo LyS, Dep. de Galego-Português, Francês e LinguísticaUniversidade da CoruñaGalizaSpain

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