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Coordinate relation refers to the relation between instances of a concept andthe relation between the directly hyponyms of a concept. In this paper, wefocus on the task of extracting terms which are coordinate with a user givenseed term in Chinese, and grouping the terms which belong to different conceptsif the seed term has several meanings. We propose a semi-supervised method thatintegrates manually defined linguistic patterns and automatically learnedsemi-structural patterns to extract coordinate terms in Chinese from web searchresults. In addition, terms are grouped into different concepts based on theirco-occurring terms and contexts. We further calculate the saliency scores ofextracted terms and rank them accordingly. Experimental results demonstratethat our proposed method generates results with high quality and wide coverage.

Learning to Mine Chinese Coordinate Terms Using the Web