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- W2513531131 abstract "Alias name is the surnames for a known name. Extracting and validating alias names is an interesting research topic in language processing and has a number of Natural language processing applications like Information extraction, Information retrieval, Sentimental analysis, Question and answering. Alias name validation involves the process of validating whether a name is alias name or not. In this work, seven statistical similarity coefficients were used as features in classifier to validate alias names. For each name-alias pair, seven statistical similarity coefficient values were calculated and used as features to train a classifier. The trained classifier is then employed to classify whether a name-alias pair is valid or not. Experiments were conducted using Indian name-alias data that has data for 15 persons containing 35 name-alias pairs. Results show that SVM classifier with Radial Basis Function Kernel outperforms all the other classifiers in terms of overall accuracy." @default.
- W2513531131 created "2016-09-16" @default.
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- W2513531131 date "2015-10-01" @default.
- W2513531131 modified "2023-09-25" @default.
- W2513531131 title "SUPERVISED ALIAS NAME VALIDATION USING STATISTICAL SIMILARITY COEFFICIENTS" @default.
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- W2513531131 doi "https://doi.org/10.21917/ijsc.2015.0148" @default.
- W2513531131 hasPublicationYear "2015" @default.
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