Post-Processing of Automatic Text Summarization for Domain-Specific Documents

For dissolving the imperfection that traditional text summarization method is poor to express domain-specific document meanings, techniques called post-processing to summaries are studied. The post-processing includes: elimination of redundancy; adjustment to coarse summary by clustering document paragraphs; generalization of summary sentences; filling domain-specific knowledge by means of constructing knowledge base. Finally, experiments on clothing field documents are done and software named CTS is developed based on the above theories. Compared with MS Word 2003, the experimental results show that our approaches are effective and efficient. The fruit can be introduced easily into mobile devices to explorer Web pages according its domain.