Báo cáo khoa học: "Noun-phrase co-occurrence statistics for semi-automatic semantic lexicon construction"

For a given category, choose a small set of exemplars (or 'seed words') 2. Count co-occurrence of words and seed words within a corpus 3. Use a figure of merit based upon these counts to select new seed words 4. Return to step 2 and iterate n times 5. Use a figure of merit to rank words for category membership and o u t p u t a ranked list Our algorithm uses roughly this same generic structure, but achieves notably superior results, by changing the specifics of: what counts as co-occurrence; which figures of merit to use for...