摘要: Named Entity Recognition (NER) systems need to integrate a wide variety of information for optimal performance. This paper demonstrates that maximum entropy tagger can effectively encode such and identify named entities with very high accuracy. The uses features which be obtained languages works not only English, but also other as German Dutch.
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sydney.edu.au 参考文章(12)
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