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Improving Chronological Ordering of Sentences Extracted from Multiple Newspaper Articles
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BibTeX
@MISC{Okazaki_improvingchronological,
author = {Naoaki Okazaki},
title = {Improving Chronological Ordering of Sentences Extracted from Multiple Newspaper Articles},
year = {}
}
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Abstract
It is necessary to determine a proper arrangement of extracted sentences to generate a wellorganized summary from multiple documents. This paper describes our Multi-Document Summarization (MDS) system for TSC-3. It specifically addresses an approach to coherent sentence ordering for MDS. An impediment to the use of chronological ordering, which is widely used by conventional summarization system, is that it arranges sentences without considering the presupposed information of each sentence. We propose a method to improve chronological ordering by resolving precedent information of arranging sentences. Combining the refinement algorithm with topical segmentation and chronological ordering, we address our experiments and metrics to test the effectiveness of MDS tasks. Results demonstrate that the proposed method significantly improves chronological sentence ordering. At the end of the paper, we also report an outline/evaluation of important sentence extraction and redundant clause elimination integrated in our MDS system.
Keyphrases
chronological ordering sentence extracted multiple newspaper article outline evaluation refinement algorithm chronological sentence ordering md task important sentence extraction presupposed information topical segmentation precedent information wellorganized summary multi-document summarization redundant clause elimination md system proper arrangement conventional summarization system multiple document extracted sentence
