关键词: 术语抽取, 术语过滤, 互信息, 阈值, 评价指标

Abstract: In order to reduce the impact of problems inherent in the mutual information method on the filtering effect, a method of candidate term filtration and extraction was proposed. And a determination algorithm based on partial evaluating indicator was given, which can give the best upper and lower thresholds fast and accurately through data sampling, statistics and computation. Compared with the method of mutual information filtration with single threshold, the proposed method filtered and extracted candidate terms by setting two thresholds in the premise of not changing the calculating formula of mutual information. The experimental results show that the proposed method can improve the precision rate and F-measurement significantly under the same conditions.

Key words: term extraction, term filtration, mutual information, threshold, evaluating indicator