Paper: Sentence Ordering Driven by Local and Global Coherence for Summary Generation

ACL ID P11-3002
Title Sentence Ordering Driven by Local and Global Coherence for Summary Generation
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2011
Authors

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.