Advertisement

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

  • Elvys Linhares PontesEmail author
  • Stéphane Huet
  • Juan-Manuel Torres-Moreno
  • Andréa Carneiro Linhares
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10859)

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.

Keywords

Cross-Language Automatic Text Summarization Multi-Sentence Compression Sentence Compression 

References

  1. 1.
    Banerjee, S., Mitra, P., Sugiyama, K.: Multi-document Abstractive Summarization Using ILP Based Multi-sentence Compression. In: 24th International Conference on Artificial Intelligence (IJCAI), IJCAI 2015, pp. 1208–1214 (2015)Google Scholar
  2. 2.
    Boudin, F., Huet, S., Torres-Moreno, J.: A graph-based approach to cross-language multi-document summarization. Polibits 43, 113–118 (2011)CrossRefGoogle Scholar
  3. 3.
    Brin, S., Page, L.: The anatomy of a large-scale hypertextual web search engine. Comput. Netw. ISDN Syst. 30(1–7), 107–117 (1998)CrossRefGoogle Scholar
  4. 4.
    Filippova, K.: Multi-sentence compression: finding shortest paths in word graphs. In: COLING, pp. 322–330 (2010)Google Scholar
  5. 5.
    Filippova, K., Alfonseca, E., Colmenares, C.A., Kaiser, L., Vinyals, O.: Sentence compression by deletion with LSTMs. In: EMNLP, pp. 360–368 (2015)Google Scholar
  6. 6.
    Giannakopoulos, G., El-Haj, M., Favre, B., Litvak, M., Steinberger, J., Varma, V.: TAC2011 multiling pilot overview. In: 4th Text Analysis Conference TAC (2011)Google Scholar
  7. 7.
    Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O., Constantin, A., Herbst, E.: Moses: Open source toolkit for statistical machine translation. In: 45th Annual Meeting of the Association for Computational Linguistics (ACL), Companion Volume, pp. 177–180 (2007)Google Scholar
  8. 8.
    Kulkarni, N., Finlayson, M.A.: jMWE: a Java toolkit for detecting multi-word expressions. In: Workshop on Multiword Expressions: from Parsing and Generation to the Real World (MWE), pp. 122–124 (2011)Google Scholar
  9. 9.
    Leuski, A., Lin, C.Y., Zhou, L., Germann, U., Och, F.J., Hovy, E.: Cross-lingual C*ST*RD: English access to Hindi Information. J. ACM Trans. Asian Lang. Inf. Process. 2(3), 245–269 (2003)CrossRefGoogle Scholar
  10. 10.
    Li, C., Liu, F., Weng, F., Liu, Y.: Document summarization via guided sentence compression. In: EMNLP, pp. 490–500. ACL (2013)Google Scholar
  11. 11.
    Li, C., Liu, Y., Liu, F., Zhao, L., Weng, F.: Improving multi-documents summarization by sentence compression based on expanded constituent parse trees. In: EMNLP, pp. 691–701. ACL (2014)Google Scholar
  12. 12.
    Lin, C.Y.: ROUGE: a package for automatic evaluation of summaries. In: Workshop Text Summarization Branches Out (ACL 2004), pp. 74–81 (2004)Google Scholar
  13. 13.
    Linhares Pontes, E., Huet, S., Gouveia da Silva, T., Linhares, A.C., Torres-Moreno, J.M.: Multi-sentence compression with word vertex-labeled graphs and integer linear programming. In: Proceedings of TextGraphs-12: the Workshop on Graph-based Methods for Natural Language Processing. Association for Computational Linguistics (2018)Google Scholar
  14. 14.
    Linhares Pontes, E., Gouveia da Silva, T., Linhares, A.C., Torres-Moreno, J.M., Huet, S.: Métodos de otimização combinatória aplicados ao problema de compressão multifrases. In: Anais do XLVIII Simpósio Brasileiro de Pesquisa Operacional (SBPO), pp. 2278–2289 (2016)Google Scholar
  15. 15.
    Manning, C., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: 52nd Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, pp. 55–60 (2014)Google Scholar
  16. 16.
    Niu, J., Chen, H., Zhao, Q., Su, L., Atiquzzaman, M.: Multi-document abstractive summarization using chunk-graph and recurrent neural network. In: IEEE International Conference on Communications, ICC, pp. 1–6 (2017)Google Scholar
  17. 17.
    Och, F.J., Ney, H.: A systematic comparison of various statistical alignment models. Comput. Linguist. 29(1), 19–51 (2003)CrossRefGoogle Scholar
  18. 18.
    Orasan, C., Chiorean, O.A.: Evaluation of a cross-lingual Romanian-English multi-document summariser. In: 6th International Conference on Language Resources and Evaluation (LREC) (2008)Google Scholar
  19. 19.
    Qian, X., Liu, Y.: Fast joint compression and summarization via graph Cuts. In: EMNLP, pp. 1492–1502 (2013)Google Scholar
  20. 20.
    Sag, I.A., Baldwin, T., Bond, F., Copestake, A., Flickinger, D.: Multiword expressions: a pain in the neck for NLP. In: Gelbukh, A. (ed.) CICLing 2002. LNCS, vol. 2276, pp. 1–15. Springer, Heidelberg (2002).  https://doi.org/10.1007/3-540-45715-1_1CrossRefGoogle Scholar
  21. 21.
    Torres-Moreno, J.M.: Automatic Text Summarization. Wiley and Sons, London (2014)CrossRefGoogle Scholar
  22. 22.
    Wan, X.: Using bilingual information for cross-language document summarization. In: ACL, pp. 1546–1555 (2011)Google Scholar
  23. 23.
    Wan, X., Li, H., Xiao, J.: Cross-language document summarization based on machine translation quality prediction. In: ACL, pp. 917–926 (2010)Google Scholar
  24. 24.
    Yao, J., Wan, X., Xiao, J.: Compressive document summarization via sparse optimization. In: IJCAI, pp. 1376–1382. AAAI Press (2015)Google Scholar
  25. 25.
    Yao, J., Wan, X., Xiao, J.: Phrase-based compressive cross-language summarization. In: EMNLP, pp. 118–127 (2015)Google Scholar
  26. 26.
    Zhang, J., Zhou, Y., Zong, C.: Abstractive cross-language summarization via translation model enhanced predicate argument structure fusing. IEEE/ACM Trans. Audio Speech Lang. Process. 24(10), 1842–1853 (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Elvys Linhares Pontes
    • 1
    Email author
  • Stéphane Huet
    • 1
  • Juan-Manuel Torres-Moreno
    • 1
    • 2
  • Andréa Carneiro Linhares
    • 3
  1. 1.LIAUniversité d’Avignon et des Pays de VaucluseAvignonFrance
  2. 2.École Polytechnique de MontréalMontrealCanada
  3. 3.Universidade Federal do CearáSobralBrazil

Personalised recommendations