BibSonomyburst/bibtex/1ce05b617ef5a9b4df92ce72415a986ecBibSonomy RSS feed for /bibtex/1ce05b617ef5a9b4df92ce72415a986ec2012-02-17T09:32:26+01:00http://www.bibsonomy.org/bibtex/2103f4c7b257c1be81ae26cc98c382710/diego_madiego_ma2008-03-19T05:51:36+01:00summarisation COMP448 <span class="authorEditorList"><a href="/author/Lin">Chin-Yew Lin</a> </span><em>Proc. ACM conference on Information and Knowledge Management CIKM, </em><em>page 8 pages. </em>(<em>1999</em>)Wed Mar 19 05:51:36 CET 2008Proc. ACM conference on Information and Knowledge Management (CIKM)8 pagesTraining a Selection Function for Extraction1999summarisation COMP448 In this paper we compare performance of several heuristics in generating informative generic/query-oriented extracts for newspaper articles in order to learn how topic prominence affects the performance of each heuristic. We study how different query types can affect the performance of each heuristic and discuss the possibility of using machine learning algorithms to automatically learn good combination functions to combine several heuristics. We also briefly describe the design, implementation, and performance of a multilingual text summarization system SUMMARIST.http://www.bibsonomy.org/bibtex/28442ff7eb3437efed693fd3c86d98fe3/dblpdblp2002-12-05T00:00:00+01:00dblp <span class="authorEditorList"><a href="/author/Lin">Chin-Yew Lin</a> </span><em>CIKM, </em><em>page 55-62. </em><em>ACM, </em>(<em>1999</em>)Thu Dec 05 00:00:00 CET 2002CIKMconf/cikm/9955-62Training a Selection Function for Extraction.1999dblp dblp