CRF++ is designed for generic purpose and will be applied to a variety of NLP tasks, such as Named Entity Recognition, Information Extraction and Text Chunking.

 
  • 詳細說(shuō)明: 條件隨機場(chǎng)用于NLP中命名實(shí)體,組塊分析。-CRF++ is a simple; customizable; and implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data.
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