A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic condensation of electronic publications by sentence selection
Information Processing and Management: an International Journal - Special issue: summarizing text
New Methods in Automatic Extracting
Journal of the ACM (JACM)
The rhetorical parsing of natural language texts
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Event-Based Summarization Using Time Features
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Extractive summarization using supervised and semi-supervised learning
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Non-textual event summarization by applying machine learning to template-based language generation
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
Sentence-level event classification in unstructured texts
Information Retrieval
Summarizing non-textual events with a 'briefing' focus
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
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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.