Word sense disambiguation based on lexical weighting in conceptual density
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
MANAGTOOLS02_268
تاریخ نمایه سازی: 9 مرداد 1395
Abstract:
In this paper, examining the key role of the noun in the lexical disambiguaty of English text, a new method of combining conceptual density method with giving weights to some unambiguous nouns in COCA Corpus and Brown Corpus for word sense disambiguation is presented. In this method, as well as conceptual density, the focus is on the most covered nouns in the hierarchical structure of WordNet, with the difference expressing the weight is given based on three parameters to unambiguous nouns while the process of disambiguation is done based upon them. So nouns with more semantic closeness to the ambiguous noun, have more impact on the disambiguation process. The results of conducted studies using these three weighting parameter, either separately or in combination indicating an acceptable level of accuracy in disambiguation.
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Authors
Ali Golkar
Department of Computer Science & IT, School of Electrical and Computer Engineering Shiraz University, Iran
Seyed Shahabeddin Tabatabaei
Young Researchers and Elite Cub, Abadeh Branch, Islamic Azad University, Abadeh, Iran
Azita Yazdani
Teacher at the University of Applied sciences, Abadeh, Iran
Neda Khaledian
Industrial Engineering Department Azad University, Lenjan Branch, Lenjan,Iran
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