Machine-learning methods for text named entity recognition

O.O. Marchenko

Abstract


The article describes machine learning methods for the named entity recognition. To build named entity classifiers two basic models of machine learning, The Naїve Bayes and Conditional Random Fields, were used. A model for multi-classification of named entities using Error Correcting Output Codes was also researched. The paper describes a method for classifiers' training and the results of test experiments. Conditional Random Fields overcome other models in precision and recall evaluations.

Problems in programming 2016; 2-3: 150-157


Keywords


machine learning; natural language processing; named entity recognition

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References


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