A multilingual news summarizer
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
TopCat: Data Mining for Topic Identification in a Text Corpus
IEEE Transactions on Knowledge and Data Engineering
Sentence ordering in multidocument summarization
HLT '01 Proceedings of the first international conference on Human language technology research
Hedge Trimmer: a parse-and-trim approach to headline generation
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
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This paper discusses an approach to generate headline summary from a set of documents. Headline summary is basically a very short summary in the form of headline. As the amount of on-line information increases, systems that can automatically summarize multiple documents are becoming increasingly desirable. In this situation, headline summary is useful for users who only need information on the main topics in a set of documents. Headline summary from multiple documents will be very useful in the text mining applications for the generation of meaningful label (a compact identifier that allows a person to quickly see what the topic is about) for a cluster of documents.