In text-related tasks, the observation sequence is given, so we don't need to care the probability of the observation, but the state sequence induced.
在与网络文本相关的信息抽取任务中，观察值序列都是给定的，所以不需要考虑得到观察值的概率，而只需要关注观察值引起的状态转移的概率。
This approach makes use of overlapping features to identify the corresponding state of data items and every state is the result of state-state transition and observation-state transition probability.
这种方法能够充分利用数据的重叠特征来辨识数据项对应的状态，结合了统计模型和规则模型的优点。
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