Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
条件随机场是一种无向图模型，它具有产生式模型和最大熵马尔可夫模型的优点。
The article introduces the basic principle of CRF (Conditional Random Fields) and USES it to identify the COC.
本文详细介绍了CRF基本原理，并用该模型对有标记联合结构进行了自动识别。
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