Paper: A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm

ACL ID P10-1095
Title A New Approach to Improving Multilingual Summarization Using a Genetic Algorithm
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010
Authors

Automated summarization methods can be defined as “language-independent,” if they are not based on any language- specific knowledge. Such methods can be used for multilingual summarization defined by Mani (2001) as “processing several languages, with summary in the same language as input.” In this pa- per, we introduce MUSE, a language- independent approach for extractive sum- marization based on the linear optimiza- tion of several sentence ranking measures using a genetic algorithm. We tested our methodology on two languages—English and Hebrew—and evaluated its perfor- mance with ROUGE-1 Recall vs. state- of-the-art extractive summarization ap- proaches. Our results show that MUSE performs better than the best known multi- lingual approach (TextRank1) in both lan- guages. Mor...