A Part-Of-Speech Lexicographic Encoding for an Evolutionary Word Sense Disambiguation Approach

被引:0
|
作者
Azzini, Antonia [1 ]
Dragoni, Mauro [1 ]
Tettamanzi, Andrea G. B. [1 ]
机构
[1] Univ Milan, Dipartimento Tecnol Informaz, I-20122 Milan, Italy
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work proposes a novel distributed scheme based on a part-of-speech tagged lexicographic encoding to represent the context in which a particular word occurs in an evolutionary approach for word sense disambiguation. Tagged dataset for every sense of a polysemous word are considered as inputs to supervised classifiers, Artificial Neural Networks (ANNs), which are evolved by a joint optimization of their structures and weights, together with a similarity based recombination operator. The viability of the approach has been demonstrated through experiments carried out on a representative set of polysemous words. Comparison with the best entries of the Semeval-2007 competition has shown that the proposed approach is competitive with state-of-the-art WSD approaches.
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页码:244 / 253
页数:10
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