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

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 sum-marization 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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https://hal.archives-ouvertes.fr/hal-01779465
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Elvys Linhares Pontes, Stéphane Huet, Juan-Manuel Torres-Moreno, Andréa Carneiro Linhares. Cross-Language Text Summarization using Sentence and Multi-Sentence Compression. 23rd International Conference on Natural Language & Information Systems (NLDB), 2018, Paris, France. pp.467-479, ⟨10.1007/978-3-319-91947-8_48⟩. ⟨hal-01779465⟩

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