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Hierarchical clustering tree

Xem 1-2 trên 2 kết quả Hierarchical clustering tree
  • We propose a novel method for learning morphological paradigms that are structured within a hierarchy. The hierarchical structuring of paradigms groups morphologically similar words close to each other in a tree structure. This allows detecting morphological similarities easily leading to improved morphological segmentation. Our evaluation using (Kurimo et al., 2011a; Kurimo et al., 2011b) dataset shows that our method performs competitively when compared with current state-ofart systems.

    pdf10p bunthai_1 06-05-2013 24 2   Download

  • We propose a new method for reformatting web documents by extracting semantic structures from web pages. Our approach is to extract trees that describe hierarchical relations in documents. We developed an algorithm for this task by employing the EM algorithm and clustering techniques. Preliminary experiments showed that our approach was more effective than baseline methods.

    pdf4p bunbo_1 17-04-2013 11 1   Download

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