Abstract
We present a new method that extracts multi-word terms through two steps. As input, our technique requires only part of speech tagged texts and a handful of seed words. We use an automatic learning algorithm to select the best extraction single-word terms and take these extraction results of single-word terms as term parts of the multi-word terms to extraction the multi-word terms, the experiment obtains the very well result.
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