Skeleton Parsing for Specific Domain Chinese Text
Qi Hao · Zhongwen xinxi xuebao · 2004
A method of skeleton parsing for domain specific Chinese text is put forward in this paper. The method includes two key steps: shallow parsing and template matching. The template is adopted to represent the sentence skeleton. We use shallow parsing, cascade hidden Markov Model, to combine phrases. The skeleton parsing is achieved through template matching from the tree of shallow parsing. An experiment on sports news shows the performance of the proposed method achieves 98 04% precision and 81 43% recall for template matching and 96 97% precision and 84 85% recall at sentence level.