Skip to main content

Citation Based Summarisation of Legal Texts

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNAI,volume 7458)

Abstract

This paper presents an approach towards using both incoming and outgoing citation information for document summarisation. Our work aims at generating automatically catchphrases for legal case reports, using, beside the full text, also the text of cited cases and cases that cite the current case. We propose methods to use catchphrases and sentences of cited/citing cases to extract catchphrases from the text of the target case. We created a corpus of cases, catchphrases and citations, and performed a ROUGE based evaluation, which shows the superiority of our citation-based methods over full-text-only methods.

Keywords

  • Citation Data
  • Matching Criterion
  • Legal Text
  • Computational Linguistics
  • Target Case

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-32695-0_6
  • Chapter length: 13 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   109.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-32695-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   143.00
Price excludes VAT (USA)

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Elkiss, A., Shen, S., Fader, A., Erkan, G., States, D., Radev, D.: Blind men and elephants: What do citation summaries tell us about a research article? J. Am. Soc. Inf. Sci. Technol. 59(1), 51–62 (2008)

    CrossRef  Google Scholar 

  2. Erkan, G., Radev, D.: LexRank: Graph-based lexical centrality as salience in text summarization. Journal of Artificial Intelligence Research 22, 457–479 (2004)

    Google Scholar 

  3. Galgani, F., Compton, P., Hoffmann, A.: Towards Automatic Generation of Catchphrases for Legal Case Reports. In: Gelbukh, A. (ed.) CICLing 2012, Part II. LNCS, vol. 7182, pp. 414–425. Springer, Heidelberg (2012)

    CrossRef  Google Scholar 

  4. Greenleaf, G., Mowbray, A., King, G., Van Dijk, P.: Public Access to Law via Internet: The Australian Legal Information Institute. Journal of Law and Information Science 6, 49 (1995)

    Google Scholar 

  5. Hachey, B., Grover, C.: Extractive summarisation of legal texts. Artif. Intell. Law 14(4), 305–345 (2006)

    CrossRef  Google Scholar 

  6. Kaplan, D., Iida, R., Tokunaga, T.: Automatic extraction of citation contexts for research paper summarization: a coreference-chain based approach. In: Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries, pp. 88–95. Association for Computational Linguistics, Morristown (2009)

    CrossRef  Google Scholar 

  7. Lin, C.Y.: Rouge: A package for automatic evaluation of summaries. In: Text Summarization Branches Out: Proceedings of the ACL 2004 Workshop, pp. 74–81. Association for Computational Linguistics, Barcelona (2004)

    Google Scholar 

  8. Mei, Q., Zhai, C.: Generating impact-based summaries for scientific literature. In: Proceedings of ACL 2008: HLT, pp. 816–824 (2008)

    Google Scholar 

  9. Mohammad, S., Dorr, B., Egan, M., Hassan, A., Muthukrishan, P., Qazvinian, V., Radev, D., Zajic, D.: Using citations to generate surveys of scientific paradigms. In: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Boulder, Colorado, pp. 584–592 (2009)

    Google Scholar 

  10. Nakov, P.I., Schwartz, A.S., Hearst, M.A.: Citances: Citation sentences for semantic analysis of bioscience text. In: Proceedings of the SIGIR 2004 Workshop on Search and Discovery in Bioinformatics (2004)

    Google Scholar 

  11. Olsson, J.L.T.: Guide To Uniform Production of Judgments, 2nd edn. Australian Institute of Judicial Administration, Carlton South (1999)

    Google Scholar 

  12. Qazvinian, V., Radev, D.R.: Scientific Paper Summarization Using Citation Summary Networks. In: Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008), pp. 689–696 (2008)

    Google Scholar 

  13. Qazvinian, V., Radev, D.R., Ozgur, A.: Citation summarization through keyphrase extraction. In: Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010), Beijing, China, pp. 895–903 (August 2010)

    Google Scholar 

  14. Radev, D., Allison, T., Blair-goldensohn, S., Blitzer, J., Çelebi, A., Dimitrov, S., Drabek, E., Hakim, A., Lam, W., Liu, D., Otterbacher, J., Qi, H., Saggion, H., Teufel, S., Winkel, A., Zhang, Z.: Mead - a platform for multidocument multilingual text summarization. In: LREC 2004 (2004)

    Google Scholar 

  15. Ritchie, A., Robertson, S., Teufel, S.: Comparing citation contexts for information retrieval. In: CIKM 2008: Proceeding of the 17th ACM Conference on Information and Knowledge Management, pp. 213–222. ACM, New York (2008)

    CrossRef  Google Scholar 

  16. Schwartz, A.S., Hearst, M.: Summarizing key concepts using citation sentences. In: Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology, pp. 134–135. Association for Computational Linguistics, New York (2006)

    CrossRef  Google Scholar 

  17. Yousfi-Monod, M., Farzindar, A., Lapalme, G.: Supervised Machine Learning for Summarizing Legal Documents. In: Farzindar, A., Kešelj, V. (eds.) Canadian AI 2010. LNCS (LNAI), vol. 6085, pp. 51–62. Springer, Heidelberg (2010)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Galgani, F., Compton, P., Hoffmann, A. (2012). Citation Based Summarisation of Legal Texts. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32695-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32694-3

  • Online ISBN: 978-3-642-32695-0

  • eBook Packages: Computer ScienceComputer Science (R0)