Paper: Summarization Through Submodularity and Dispersion

ACL ID P13-1100
Title Summarization Through Submodularity and Dispersion
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

We propose a new optimization frame- work for summarization by generalizing the submodular framework of (Lin and Bilmes, 2011). In our framework the sum- marization desideratum is expressed as a sum of a submodular function and a non- submodular function, which we call dis- persion; the latter uses inter-sentence dis- similarities in different ways in order to ensure non-redundancy of the summary. We consider three natural dispersion func- tions and show that a greedy algorithm can obtain an approximately optimal sum- mary in all three cases. We conduct ex- periments on two corpora?DUC 2004 and user comments on news articles?and show that the performance of our algo- rithm outperforms those that rely only on submodularity.