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A recognition method of Vietnamese named entity based on conditional random fields. (Chinese. English summary) Zbl 1313.68175

Summary: A method of named entity recognition is proposed based on a conditional random field model aimed at the language feature of Vietnamese. This method aims at the feature of word and part of speech, adopts the arithmetic of conditional random fields, selects the word and part of speech as the feature, defines the feature template, chooses the news text of Vietnamese, tags the six entity linguistic data such as place name, person name and organization, trains the Vietnamese entity recognition model which is acquired. Vietnamese entity recognition experiment results prove that the entity recognition accuracy rate of this method reaches 83.73%.

MSC:

68T10 Pattern recognition, speech recognition
68T05 Learning and adaptive systems in artificial intelligence
68T50 Natural language processing
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