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Sentence Compression as a Step in Summarization or an Alternative Path in Text Shortening
Acte de colloque   Open Access

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

Mehdi Yousfi-Monod et Violaine Prince
Coling'08: International Conference on Computational Linguistics, pp.137-140
Coling'08: International Conference on Computational Linguistics (Manchester, UK, 18/08/2008–22/08/2008)
08/2008

Résumé

NLP automatic summarization sentence reduction syntactic pruning linguistic analysis theory of government and binding
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 %.

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