Sentence Ordering Driven by Local and Global Coherence for Summary Generation

Renxian Zhang
The Hong Kong Polytechnic University


Abstract

In summarization, sentence ordering is conducted to enhance summary readability by accommodating text coherence. We propose a grouping-based ordering framework that integrates local and global coherence concerns. Summary sentences are grouped before ordering is applied on two levels: group-level and sentence-level. Different algorithms for grouping and ordering are discussed. The preliminary results on single-document news datasets demonstrate the advantage of our method over a widely accepted method.




Full paper: http://www.aclweb.org/anthology/P/P11/.pdf