Abstract: Summarization requires selection of the more informative sentences within a set of documents. Generally, process assumes the document set includes related topics to a subject. However, some of the documents may be outlier and the effect of an outlier document might affect the success of extractive summary. Research is focused on filtering documents at the extraction stage these are outlier. Extraction finds the outlier documents far distance from representative document set word vector (DSWV). DUC 2006 data set is used for tests. System summaries are compared with the systems generated by DUC participants. Results points out that filtering outlier documents overwhelm all the systems fairly.

• Publication Date: 08-Jun-2014
• DOI: 10.15224/978-1-63248-021-7-67
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Abstract: This paper presents a new algorithm of decision rules with oblique conditions induction. It bases on the Fisher’s Linear Discriminant Analysis as a tool of finding an initial classes separation. This technique has a good ability of oblique dependencies generalisation what reduces the number of decision rules and their complexities.

• Publication Date: 08-Jun-2014
• DOI: 10.15224/978-1-63248-021-7-70
• Views: 0
• Downloads: 0