A Frame-based Approach to Chinese Collocation Automatic Extracting
Genlin Ji · Jisuanji gongcheng · 2004
This paper presents a frame-based method to extract Chinese collocations and their structure information simultaneously. It uses ratio of relative word rank(RRWR) to pre-process the potential collocations, applies linguistic knowledge to restrict the part of speech of the candidate collocations, makes use of statistical language model such as mutual information to extract collocations in large scale corpus. The result shows that the average accuracy is 84.73%, 4.7% higher than Xtract, 50.79% higher than the work of same kind in Chinese collocation extraction. And the structure information is acquired at the same time.