Entity linking with distributional semantics
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http://hdl.handle.net/2183/19314Collections
- Investigación (FFIL) [877]
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Entity linking with distributional semanticsDate
2016-07Citation
Pablo Gamallo and Marcos Garcia, Entity Linking with Distributional Semantics, in João Silva, Ricardo Ribeiro, Paulo Quaresma, André Adami, António Branco (eds.), Computational Processing of the Portuguese Language. 12th International Conference, PROPOR 2016, Tomar, Portugal, July 13-15, 2016, Proceedings, volume 9727 of Lecture Notes in Artificial Intelligence, pp. 177-188, Springer, 2016.
Abstract
[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
Semantic annotation
Term extraction
ISSN
0302-9743
ISBN
978-3-319-41551-2
