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K nearest neighbor algorithm (k-NN) is an instance-based lazy classifier that does not need to delineate the entire boundaries between classes. Thus some classification tasks that constantly need a training procedure may favor k-NN if high efficiency is needed. However, k-NN is prone to be affected by the variation of datum densities among different classes. In this paper, we define a new neighborhood...
Shallow parsing is a very important task in natural language processing or text mining, and the partial syntactical information can help to solve many other natural language processing tasks. In this paper, we split the task of shallow parsing into two subtasks: (1) Seeking all the break points to divide a part-of-speech (POS) sequence into some groups; (2) Tagging a phrase type for each POS group...
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