A latent variable model for discourse-Aware concept and entity disambiguation
|A latent variable model for discourse-Aware concept and entity disambiguation|
|Author(s)||Fahrni A., Strube M.|
|Published in||14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014|
|Keyword(s)||Unknown (Extra: Computational linguistics, Entity disambiguation, Latent variable, Latent variable modeling, Markov logic networks, Proper nouns, Wikipedia, Equivalence classes)|
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A latent variable model for discourse-Aware concept and entity disambiguation is a 2014 conference paper written in English by Fahrni A., Strube M. and published in 14th Conference of the European Chapter of the Association for Computational Linguistics 2014, EACL 2014.
This paper takes a discourse-oriented perspective for disambiguating common and proper noun mentions with respect to Wikipedia. Our novel approach models the relationship between disambiguation and aspects of cohesion using Markov Logic Networks with latent variables. Considering cohesive aspects consistently improves the disambiguation results on various commonly used data sets.
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