Introduction of a new paraphrase generation tool based on Monte-Carlo sampling

Jonathan Chevelu*, Thomas Lavergne, Yves Lepage, Thierry Moudenc

*この研究の対応する著者

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

We propose a new specifically designed method for paraphrase generation based on Monte-Carlo sampling and show how this algorithm is suitable for its task. Moreover, the basic algorithm presented here leaves a lot of opportunities for future improvement. In particular, our algorithm does not constraint the scoring function in opposite to Viterbi based decoders. It is now possible to use some global features in paraphrase scoring functions. This algorithm opens new outlooks for paraphrase generation and other natural language processing applications like statistical machine translation.

本文言語English
ホスト出版物のタイトルACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.
出版社Association for Computational Linguistics (ACL)
ページ249-252
ページ数4
ISBN(印刷版)9781617382581
DOI
出版ステータスPublished - 2009
外部発表はい
イベントJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Suntec, Singapore
継続期間: 2009 8 22009 8 7

出版物シリーズ

名前ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

Conference

ConferenceJoint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009
国/地域Singapore
CitySuntec
Period09/8/209/8/7

ASJC Scopus subject areas

  • 言語および言語学
  • 言語学および言語

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