Abstract
The disambiguation algorithm presented in this paper is implemented in SemLinker, an entity linking system. First, named entities are linked to candidate Wikipedia pages by a generic annotation engine. Then, the algorithm re-ranks candidate links according to mutual relations between all the named entities found in the document. The evaluation is based on experiments conducted on the test corpus of the TAC-KBP 2012 entity linking task. © 2014 Association for Computational Linguistics.
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CITATION STYLE
Charton, E., Meurs, M. J., Jean-Louis, L., & Gagnon, M. (2014). Mutual disambiguation for entity linking. In 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference (Vol. 2, pp. 476–481). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/p14-2078
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