Refine
Year of publication
- 2008 (1)
Document Type
Language
- English (1) (remove)
Has Fulltext
- no (1)
Is part of the Bibliography
- no (1)
Keywords
- summarization (1) (remove)
Institute
Despite considerable work in automatic meeting summarization over the last few years, comparing results remains difficult due to varied task conditions and evaluations. To address this issue, we present a method for determining the best possible extractive summary given an evaluation metric like ROUGE. Our oracle system is based on a knapsack-packing framework, and though NP-Hard, can be solved nearly optimally by a genetic algorithm. To frame new research results in a meaningful context, we suggest presenting our oracle results alongside two simple baselines. We show oracle and baseline results for a variety of evaluation scenarios that have recently appeared in this field.