Sentence Compression as a Step in Summarization or an Alternative Path in Text Shortening

The originality of this work leads in tackling text compression using an unsupervised method, based on a deep linguistic analysis, and without resorting on a learning corpus. This work presents a system for dependent tree pruning, while preserving the syntactic coherence and the main informational contents, and led to an operational software, named COLIN. Experiment results show that our compressions get honorable satisfaction levels, with a mean compression ratio of 38 %.

• Type: Conference
• Year: 2008
• Where: COLING
• Authors: Mehdi Yousfi Monod, Violaine Prince
• Keywords: COLING 2008, Computational Linguistics, Deep Linguistic Analysis, Dependent Tree Pruning, Mean Compression Ratio