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Knowledge and Information Systems
Erschienen in: Knowledge and Information Systems 2/2019

17.01.2018 | Short Paper

Cross-language document summarization via extraction and ranking of multiple summaries

verfasst von: Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang, Jin-ge Yao

Erschienen in: Knowledge and Information Systems | Ausgabe 2/2019

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Abstract

The task of cross-language document summarization aims to produce a summary in a target language (e.g., Chinese) for a given document set in a different source language (e.g., English). Previous studies focus on ranking and selection of translated sentences in the target language. In this paper, we propose a new framework for addressing the task by extraction and ranking of multiple summaries in the target language. First, we extract multiple candidate summaries by proposing several schemes for improving the upper-bound quality of the summaries. Then, we propose a new ensemble ranking method for ranking the candidate summaries by making use of bilingual features. Extensive experiments have been conducted on a benchmark dataset and the results verify the effectiveness of our proposed framework, which outperforms a variety of baselines, including supervised baselines.
Vorheriger Artikel Efficient approaches for multi-agent planning

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Fußnoten
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Metadaten
Titel
Cross-language document summarization via extraction and ranking of multiple summaries
verfasst von
Xiaojun Wan
Fuli Luo
Xue Sun
Songfang Huang
Jin-ge Yao
Publikationsdatum
17.01.2018
Verlag
Springer London
Erschienen in
Knowledge and Information Systems / Ausgabe 2/2019
Print ISSN: 0219-1377
Elektronische ISSN: 0219-3116
DOI
https://doi.org/10.1007/s10115-018-1152-7

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