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AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text.
It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation,
sentence deconstruction and semantic anal
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CRF1.2,条件随机场软件包,很好用很流行的一个文本分类软件,可以用于自然 语言的处理,标签,分类,词性发现,用户只需要着重构造特征函数既可以,实验结果和应用表明crf要优于隐马尔科夫模型。实现环境为java语言。-CRF1.2, conditions package with the airport, very good very popular with a text classification software, can be used in natural language proc
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