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- W2119840817 abstract "This paper constructs a hybrid model for automatic Chinese person name and location name recognition, which is based on maximum entropy principle. The model consists of a training module and a recognizing module. Firstly, contextual features are extracted from the training corpus. Maximum entropy principle is employed to train the features. Then, the trained features together with a dynamic word list and a simple rule base are used to recognize Chinese person names and location names in the testing corpus. The experimental results are satisfying and have been analyzed." @default.
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- W2119840817 date "2007-01-01" @default.
- W2119840817 modified "2023-10-17" @default.
- W2119840817 title "Me-Based Chinese Person Name and Location Name Recognition Model" @default.
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- W2119840817 doi "https://doi.org/10.1109/icmlc.2007.4370743" @default.
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