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We propose a new method for organizing the numerous collocates into semantic thesaurus categories. The approach introduces a thesaurus-based semantic classification model automatically learning semantic relations for classifying adjective-noun (AN) and verb-noun (V-N) collocations into different categories. Our model uses a random walk over weighted graph(More)
OBJECTIVES To evaluate treatment outcomes and healthcare resource use with conventional amphotericin B therapy for invasive fungal infections (IFIs). PATIENTS AND METHODS A prospective observational study in hospitalized adult patients receiving amphotericin B treatment was undertaken at four hospitals in Taiwan. Patients were observed from the start of(More)
We introduce a method for learning to find domain-specific translations for a given term on the Web. In our approach, the source term is transformed into an expanded query aimed at maximizing the probability of retrieving translations from a very large collection of mixed-code documents. The method involves automatically generating sets of target-language(More)
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