The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Exploring clustering for multi-document arabic summarisation
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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In this paper we present a series of experiments carried out adopting varying summarization schemes for summarizing the IMF staff reports. The summaries produced by the system are evaluated by comparing to the staff-written executive summaries included in the original reports. The results and learned lessons are analyzed and discussed.