Guangzeng Kou

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Word Sense Disambiguation (WSD) is a task of classification to identify sense of ambiguous word. Most systems choose symmetric local context window on empirical grounds, that is, the distance from the ambiguous word to both sides of the window is same, such as [-1, +1]. Why? In this paper, we do an experiment on Senseval-3 Chinese data set. Use(More)
Word Sense Disambiguation (WSD) is a task of classification, where the local context is the basic features to identify the sense of ambiguous word. Most systems choose optimal local context window on empirical grounds, which is usually symmetric, the distance from the ambiguous word to both sides of the window is same, such as [-1, +1] or [-2, +2]. Is(More)
There are huge numbers of valuable information resources resided on Invisible Web. However, it is hard to use for us. In this paper we propose a system called NewsReaper that is capable of making Invisible Web to be visible, especially the huge number of real-time information, which update frequently and are time-sensitive. NewsReaper makes use of(More)
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