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This paper presents an exponential language model (ELM) for modeling and managing knowledge elements. The model has been developed based on minimum sample risk (MSR) algorithm, which is a discriminative training method. ELM uses features to capture global, domain, or sentential language phenomena that is composed of name entities, part of speech strings, personal usage words, positions of words, sentence...
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