Paper: Single-Document Summarization as a Tree Knapsack Problem

ACL ID D13-1158
Title Single-Document Summarization as a Tree Knapsack Problem
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

Recent studies on extractive text summariza- tion formulate it as a combinatorial optimiza- tion problem such as a Knapsack Problem, a Maximum Coverage Problem or a Budgeted Median Problem. These methods successfully improved summarization quality, but they did not consider the rhetorical relations between the textual units of a source document. Thus, summaries generated by these methods may lack logical coherence. This paper proposes a single document summarization method based on the trimming of a discourse tree. This is a two-fold process. First, we propose rules for transforming a rhetorical structure theory- based discourse tree into a dependency-based discourse tree, which allows us to take a tree- trimming approach to summarization. Sec- ond, we formulate the problem of trimming a d...