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effort.

In the statistical learning era, NER was usually performed by learning a simple linear regression model on engineered features, then decoded by a bidirectional Viterbi algorithm. Some commonly used features include:

* Lexical items: The token itself be labeled.
* Stemmed lexical items.
* Shape: The orthographic pattern of the target word. For example,

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