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A Proposal for Book Oriented Aspect Based Sentiment Analysis: Comparison over Domains Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Cross-Language Text Summarization Using Sentence and Multi-Sentence Compression

Authors : Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares

Published in: Natural Language Processing and Information Systems

Publisher: Springer International Publishing

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Abstract

Cross-Language Automatic Text Summarization produces a summary in a language different from the language of the source documents. In this paper, we propose a French-to-English cross-lingual summarization framework that analyzes the information in both languages to identify the most relevant sentences. In order to generate more informative cross-lingual summaries, we introduce the use of chunks and two compression methods at the sentence and multi-sentence levels. Experimental results on the MultiLing 2011 dataset show that our framework improves the results obtained by state-of-the art approaches according to ROUGE metrics.

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Footnotes
4
In this work, a unigram is represented by a chunk.
 
5
The keyword bonus allows the generation of longer compressions that may be more informative and it is defined by the geometric average of all weight arcs in the Chunk Graph.
 
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Metadata
Title
Cross-Language Text Summarization Using Sentence and Multi-Sentence Compression
Authors
Elvys Linhares Pontes
Stéphane Huet
Juan-Manuel Torres-Moreno
Andréa Carneiro Linhares
Copyright Year
2018
Book
Natural Language Processing and Information Systems

Print ISBN: 978-3-319-91946-1

Electronic ISBN: 978-3-319-91947-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91947-8_48

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