Building a Trainable Multi-document Summarizer
نویسنده
چکیده
This paper describes an approach to building a trainable multi-document summarization system, using a simple training process based on support vector machines. The summarization system is trained and tested using the DUC 2005 data set. The evaluation results based on ROUGE scores are presented and methods for improving the performance of the summarization system are identified.
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تاریخ انتشار 2006