Skip to main content
SpringerLink
Log in
Book cover

International Conference on Applications of Natural Language to Information Systems

NLDB 2018: Natural Language Processing and Information Systems pp 467–479Cite as

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

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

This work was partially financed by the European Project CHISTERA-AMIS ANR-15-CHR2-0001.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    The GIZA++ model, https://github.com/moses-smt/giza-pp.

  2. 2.

    http://www.statmt.org/europarl/.

  3. 3.

    http://opus.nlpl.eu/News-Commentary.php.

  4. 4.

    In this work, a unigram is represented by a chunk.

  5. 5.

    The keyword bonus allows the generation of longer compressions that may be more informative and it is defined by the geometric average of all weight arcs in the Chunk Graph.

  6. 6.

    Publicly available at: code.google.com/p/word2vec.

  7. 7.

    http://storage.googleapis.com/sentencecomp/compression-data.json.

References

  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. Boudin, F., Huet, S., Torres-Moreno, J.: A graph-based approach to cross-language multi-document summarization. Polibits 43, 113–118 (2011)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  4. Filippova, K.: Multi-sentence compression: finding shortest paths in word graphs. In: COLING, pp. 322–330 (2010)

    Google Scholar 

  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. 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. 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. 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. 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)

    Article  Google Scholar 

  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. 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. 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. 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. 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. 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. 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. Och, F.J., Ney, H.: A systematic comparison of various statistical alignment models. Comput. Linguist. 29(1), 19–51 (2003)

    Article  Google Scholar 

  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. Qian, X., Liu, Y.: Fast joint compression and summarization via graph Cuts. In: EMNLP, pp. 1492–1502 (2013)

    Google Scholar 

  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_1

    Chapter  Google Scholar 

  21. Torres-Moreno, J.M.: Automatic Text Summarization. Wiley and Sons, London (2014)

    Book  Google Scholar 

  22. Wan, X.: Using bilingual information for cross-language document summarization. In: ACL, pp. 1546–1555 (2011)

    Google Scholar 

  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. Yao, J., Wan, X., Xiao, J.: Compressive document summarization via sparse optimization. In: IJCAI, pp. 1376–1382. AAAI Press (2015)

    Google Scholar 

  25. Yao, J., Wan, X., Xiao, J.: Phrase-based compressive cross-language summarization. In: EMNLP, pp. 118–127 (2015)

    Google Scholar 

  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)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. LIA, Université d’Avignon et des Pays de Vaucluse, 84000, Avignon, France

    Elvys Linhares Pontes, Stéphane Huet & Juan-Manuel Torres-Moreno

  2. École Polytechnique de Montréal, Montreal, Québec, Canada

    Juan-Manuel Torres-Moreno

  3. Universidade Federal do Ceará, Sobral, Ceará, Brazil

    Andréa Carneiro Linhares

Authors
  1. Elvys Linhares Pontes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stéphane Huet
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Juan-Manuel Torres-Moreno
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Andréa Carneiro Linhares
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elvys Linhares Pontes .

Editor information

Editors and Affiliations

  1. Université de Franche-Comté, Besançon, France

    Max Silberztein

  2. Conservatoire National des Arts et Métiers, Paris, France

    Faten Atigui

  3. Conservatoire National des Arts et Métiers, Paris, France

    Elena Kornyshova

  4. Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

  5. University of Salford, Manchester, United Kingdom

    Farid Meziane

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Linhares Pontes, E., Huet, S., Torres-Moreno, JM., Linhares, A.C. (2018). Cross-Language Text Summarization Using Sentence and Multi-Sentence Compression. In: Silberztein, M., Atigui, F., Kornyshova, E., Métais, E., Meziane, F. (eds) Natural Language Processing and Information Systems. NLDB 2018. Lecture Notes in Computer Science(), vol 10859. Springer, Cham. https://doi.org/10.1007/978-3-319-91947-8_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-91947-8_48

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91946-1

  • Online ISBN: 978-3-319-91947-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation