SUMMaR: Combining Linguistics and Statistics for Text Summarization

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.

• Type: Conference
• Year: 2006
• Where: ECAI
• Authors: Manfred Stede, Heike Bieler, Stefanie Dipper, Arthit Suriyawongkul
• Keywords: Artificial Intelligence, ECAI 2006, Phrases Indicating Importance, Standard Approaches, Text Summarization