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A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization
[chapter]
2012
Multi-source, Multilingual Information Extraction and Summarization
Ordering information is a difficult but important task for applications generating natural-language text. We present a bottom-up approach to arranging sentences extracted for multi-document summarization. To capture the association and order of two textual segments (eg, sentences), we define four criteria, chronology, topical-closeness, precedence, and succession. These criteria are integrated into a criterion by a supervised learning approach. We repeatedly concatenate two textual segments
doi:10.1007/978-3-642-28569-1_12
dblp:series/tanlp/BollegalaOI13
fatcat:f2tlbuennzcvlpvamf4evroelm