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Term clustering by measuring the string similarities between terms is known to be an effective method to improve the quality of texts and dictionaries. However, based on our observations, chemical names are difficult to cluster using string similarity measures such as the edit distance. To demonstrate this difficulty clearly, we compared the string similarities determined using the edit distance,...
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