SUMMaR: Combining Linguistics and Statistics for Text Summarization

Authors:
Manfred Stede;Heike Bieler;Stefanie Dipper;Arthit Suriyawongkul
Affiliations:
University of Potsdam, Germany, email: stede|bieler|dipper|art@ling.uni-potsdam.de;University of Potsdam, Germany, email: stede|bieler|dipper|art@ling.uni-potsdam.de;University of Potsdam, Germany, email: stede|bieler|dipper|art@ling.uni-potsdam.de;University of Potsdam, Germany, email: stede|bieler|dipper|art@ling.uni-potsdam.de
Venue:
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Year:
2006

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Abstract

We describe a text summarization system that moves beyond standard approaches by using a hybrid approach of linguistic and statistical analysis and by employing text-sort-specific knowledge of document structure and phrases indicating importance. The system is highly modular and entirely XML-based so that different components can be combined easily.