中文说明：隐条件随机场模型(Hidden Conditional Random Field, HCRF),使用中间隐藏变量对输入域的潜在结构进行建模,解决了CRF的局限,同时又具有CFR模型表达长距离依赖性和交叠性特征的能力,克服了HMM事件检测模型的局部观察独立性假设,
English Description：
Hidden conditional random field (hCRF) model uses hidden variables in the middle to model the potential structure of the input domain, which solves the limitation of CRF. At the same time, it has the ability of CFR model to express long-distance dependence and overlap, and overcomes the local observation independence assumption of HMM event detection model,