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Authors: Mehdi Yousfi-Monod and Violaine Prince

Affiliation: LIRMM, France

Abstract: We propose an automated text summarization through sentence compression. Our approach uses constituent syntactic function and position in the sentence syntactic tree. We first define the idea of a constituent as well as its role as an information provider, before analyzing contents and discourse consistency losses caused by deleting such a constituent. We explain why our method works best with narrative texts. With a rule-based system using SYGFRAN’s morphosyntactic analysis for French [1], we select removable constituents. Our results are satisfactory at the sentence level but less effective at the whole text level, a situation we explain by describing the difference of impact between constituents and relations.

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Paper citation in several formats:
Yousfi-Monod, M. and Prince, V. (2005). Automatic Summarization Based on Sentence Morpho-Syntactic Structure: Narrative Sentences Compression. In Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS; ISBN 972-8865-23-6X, SciTePress, pages 161-167. DOI: 10.5220/0002570201610167

@conference{nlucs05,
author={Mehdi Yousfi{-}Monod. and Violaine Prince.},
title={Automatic Summarization Based on Sentence Morpho-Syntactic Structure: Narrative Sentences Compression},
booktitle={Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS},
year={2005},
pages={161-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002570201610167},
isbn={972-8865-23-6X},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Natural Language Understanding and Cognitive Science (ICEIS 2005) - NLUCS
TI - Automatic Summarization Based on Sentence Morpho-Syntactic Structure: Narrative Sentences Compression
SN - 972-8865-23-6X
AU - Yousfi-Monod, M.
AU - Prince, V.
PY - 2005
SP - 161
EP - 167
DO - 10.5220/0002570201610167
PB - SciTePress