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We present an alignment-based approach to semi-supervised relation extraction task including more than two arguments. We concentrate on improving not only the precision of the extracted result, but also on the coverage of the method. Our relation extraction method is based on an alignment-based pattern matching approach which provides more flexibility of(More)
As near-infinite amount of data are becoming accessible on the Web, it is getting more and more important to support intelligent query mechanisms, to help each user to identify the ideal results of manageable size. As such mechanism, skyline queries have gained a lot of attention lately for its intuitive query formulation. This intuitiveness, however, has a(More)
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