Multi-Document Summarization Using Document Set Type Classification

In this paper, we propose a summarization system which automatically classifies type of document set and summarizes a document set with its appropriate summarization mechanism. This system will classify a document set into three types: (a) One topic type, (b) multi-topic type, and (c) others. These types will be identified using information of high frequency nouns and Named Entity. In our multi-document summarization system, unnecessary parts are deleted after summarizing each document and then multi-document summary is generated. In type (a), unnecessary parts are similar part between summarized documents by single document summarization. In type (b), unnecessary parts are unsimilar parts in documents. In type (c), unnecessary parts are identified by scores used for single document summarization.