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Authors: Daniel Kawamoto and Thiago Alexandre Salgueiro Pardo

Affiliation: Núcleo Interinstitucional de Lingüística Computacional (NILC) Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Brazil

ISBN: 978-989-8425-13-3

Abstract: We present in this paper a method for sentence reduction with summarization purposes. The task is modeled as a machine learning problem, relying on shallow and linguistic features, in order to automatically learn symbolic patterns/rules that produce good sentence reductions. We evaluate our results with Brazilian Portuguese texts and show that we achieve high accuracy and produce better results than the existing solution for this language.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kawamoto, D. and Alexandre Salgueiro Pardo, T. (2010). Learning Sentence Reduction Rules for Brazilian Portuguese.In Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2010) ISBN 978-989-8425-13-3, pages 90-99. DOI: 10.5220/0003030300900099

@conference{nlpcs10,
author={Daniel Kawamoto and Thiago {Alexandre Salgueiro Pardo}},
title={Learning Sentence Reduction Rules for Brazilian Portuguese},
booktitle={Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2010)},
year={2010},
pages={90-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003030300900099},
isbn={978-989-8425-13-3},
}

TY - CONF

JO - Proceedings of the 7th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2010)
TI - Learning Sentence Reduction Rules for Brazilian Portuguese
SN - 978-989-8425-13-3
AU - Kawamoto, D.
AU - Alexandre Salgueiro Pardo, T.
PY - 2010
SP - 90
EP - 99
DO - 10.5220/0003030300900099

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