Yassien M. Shaalan and Ahmed Rafea
Web Document Summarization, FAQ, Question Answering, Web Page Segmentation
This research is directed towards automating frequently asked questions Web pages summarization, a task that captures the most salient pieces of information in answers of each question. To achieve this objective, an approach,which applies Web page segmentation to detect Q/A along with the use of some selective statistical sentence extraction features for summary generation, is proposed.The automatically generated summaries are compared to summaries generated by a widely used commercial tool named Copernic Summarizer2.1. The comparison isperformed via a formal evaluation process involving human evaluators. Statistical evaluation and analysis of the results demonstrate that our automatically generated summaries are significantly more informative than the commercial tool with approximately 19.5%.
Important Links:
Go Back
