Hierachical Name Entity Recognition
نویسندگان
چکیده
In this project, we investigte the hierarchical name entity recognition problem implement three modesl to empirically verify that it is probable to utilize the hierarchical relationship between entity types to improve the tranditional NER task. Specifically, our three models are all non-trivial extensions of the classical MEMM classifier. We believe some of the ideas can be conveniently adapted to sequence classifiers such as conditional random fields.
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