Abstract
We investigate independent and relevant event-based extractive mutli-document summarization approaches. In this paper, events are defined as event terms and associated event elements. With independent approach, we identify important contents by frequency of events. With relevant approach, we identify important contents by PageRank algorithm on the event map constructed from documents. Experimental results are encouraging.
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CITATION STYLE
Wu, M. (2006). Investigations on event-based summarization. In COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop (pp. 37–42). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1557856.1557864
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