Phrase-based Compressive Cross-Language Summarization

Jin-ge Yao,Xiaojun Wan,Jianguo Xiao

Published 2015 in Conference on Empirical Methods in Natural Language Processing

ABSTRACT

The task of cross-language document summarization is to create a summary in a target language from documents in a different source language. Previous methods only involve direct extraction of automatically translated sentences from the original documents. Inspired by phrasebased machine translation, we propose a phrase-based model to simultaneously perform sentence scoring, extraction and compression. We design a greedy algorithm to approximately optimize the score function. Experimental results show that our methods outperform the state-of-theart extractive systems while maintaining similar grammatical quality.

PUBLICATION RECORD

  • Publication year

    2015

  • Venue

    Conference on Empirical Methods in Natural Language Processing

  • Publication date

    2015-09-01

  • Fields of study

    Linguistics, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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