A Method and Application of Automatic Term Eztraction Using Conditional Random Fields
A Conditional Random Fields (CRF) based method and application of automatic term extraction was proposed in this paper according to the theory of “Information-Knowledge-Intelligence transformation. A CRF model was created by training the different fields of the corpus segmented and tagged. Using the model trained by CRF, the documents in a given field were automatically tagged and the terms in the field was automatically extracted with a certain way. On this basis, this method was used in automatic text summarization system to enhance the rate of the excellent summary. The experimental results showed that this method had a relatively high recall rate and accuracy, could effectively increase the performance of automatic summarization system.
Automatic Term Eztraction Conditional Random Fields Automatic Tezt Summarization
Weijun FU Lei LI
CISTR, Beijing University of Posts and Telecommunications, P.R.C., 100876
国际会议
大连
英文
1-5
2009-09-24（万方平台首次上网日期，不代表论文的发表时间）