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Semantic relatedness approach for named entity disambiguation
Abstract Natural Language is a mean to express and Natural Language is a mean to express and discuss about concepts, objects, events, i.e., it carries semantic contents. One of the ultimate aims of Natural Language Processing techniques is to identify the meaning of the text, providing effective ways to make a proper linkage between textual references and their referents, that is, real world objects. This work addresses the problem of giving a sense to proper names in a text, that is, automatically associating words representing Named Entities with their referents. The proposed methodology for Named Entity Disambiguation is based on Semantic Relatedness Scores obtained with a graph based model over Wikipedia. We show that, without building a Bag of Words representation of the text, but only considering named entities within the text, the proposed paradigm achieves results competitive with the state of the art on two different datasets.tate of the art on two different datasets.
Abstractsub Natural Language is a mean to express and Natural Language is a mean to express and discuss about concepts, objects, events, i.e., it carries semantic contents. One of the ultimate aims of Natural Language Processing techniques is to identify the meaning of the text, providing effective ways to make a proper linkage between textual references and their referents, that is, real world objects. This work addresses the problem of giving a sense to proper names in a text, that is, automatically associating words representing Named Entities with their referents. The proposed methodology for Named Entity Disambiguation is based on Semantic Relatedness Scores obtained with a graph based model over Wikipedia. We show that, without building a Bag of Words representation of the text, but only considering named entities within the text, the proposed paradigm achieves results competitive with the state of the art on two different datasets.tate of the art on two different datasets.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-15850-6_14  +
Has author Gentile A.L. + , Zhang Z. + , Linsi Xia + , Iria J. +
Has extra keyword Bag of words + , Dataset + , Graph-based models + , Named entities + , NAtural language processing + , Natural languages + , Real-world objects + , Semantic content + , Semantic relatedness + , State of the art + , Wikipedia + , Computational linguistics + , Digital libraries + , Natural language processing systems +
Isbn 3642158498; 9783642158490  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 137–148  +
Published in Communications in Computer and Information Science +
Title Semantic relatedness approach for named entity disambiguation +
Type conference paper  +
Volume 91 CCIS  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 8 November 2014 05:47:09  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 05:47:09  +
DateThis property is a special property in this wiki. 2010  +
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