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Summarizing Citation Contexts of Scientific Publications

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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9283))

Abstract

As the number of publications is increasing rapidly, it becomes increasingly difficult for researchers to find existing scientific papers most relevant for their work, even when the domain is limited. To overcome this, it is common to use paper summarization techniques in specific domains. In difference to approaches that exploit the paper content itself, in this paper we perform summarization of the citation context of a paper. For this, we adjust and apply existing summarization techniques and we come up with a hybrid method, based on clustering and latent semantic analysis. We apply this on medical informatics publications and compare performance of methods that outscore other techniques on a standard database. Summarization of the citation context can be complementary to full text summarization, particularly to find candidate papers. The reached performance seems good for routine use even though it was only tested on a small database.

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References

  1. Aliguliyev, R.: A new sentence similarity measure and sentence based extractive technique for automatic text summarization. Expert Systems with Applications 36(4), 7764–7772 (2009)

    Article  Google Scholar 

  2. Bergmark, D.: Automatic extraction of reference linking information from online documents. Tech. rep., Cornell University, Ithaca, NY, USA (2000)

    Google Scholar 

  3. Bird, S.: NLTK: the natural language toolkit. In: Proceedings of the Coling/ACL on Interactive Presentation Sessions, pp. 69–72, Stroudsburg, PA, USA (2006)

    Google Scholar 

  4. Bradshaw, S.: Reference directed indexing: redeeming relevance for subject search in citation indexes. In: Koch, T., Sølvberg, I.T. (eds.) ECDL 2003. LNCS, vol. 2769, pp. 499–510. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Conroy, J., O’Leary, D.: Text summarization via Hidden Markov models. In: Proceedings of the 24th Annual International ACM SIGIR Conference, pp. 406–407, New York, NY, USA (2001)

    Google Scholar 

  6. 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? Journal of the American Society Information Science and Technology 59(1), 51–62 (2008)

    Article  Google Scholar 

  7. Frey, B., Dueck, D.: Clustering by passing messages between data points. Science 315(5814), 972–976 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Jing, H., Barzilay, R., McKeown, K., Elhadad, M.: Summarization evaluation methods: experiments and analysis. In: AAAI Symposium on Intelligent Summarization, pp. 51–59 (1998)

    Google Scholar 

  9. Jurafsky, D., Martin, J.: Speech & Language Processing. Pearson Education India (2000)

    Google Scholar 

  10. Lin, C.Y.: Rouge: a package for automatic evaluation of summaries. In: Text Summarization Branches Out: Proceedings of the ACL-04 Workshop, pp. 74–81 (2004)

    Google Scholar 

  11. Miller, G.: Wordnet: A lexical database for english. Communications of the ACM 38(11), 39–41 (1995)

    Article  Google Scholar 

  12. Haddou ou Moussa, K., Mayr, P.: Automatische referenzextraktion mit parscit. In: Social Media and Web Science - Das Web als Lebensraum, DGI, pp. 425–428 (2012)

    Google Scholar 

  13. Nenkova, A., Passonneau, R.: Evaluating content selection in summarization: the pyramid method. In: Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 145–152 (2004)

    Google Scholar 

  14. Niwa, Y., Nitta, Y.: Co-occurrence vectors from corpora vs. distance vectors from dictionaries. In: Proceedings of the 15th Conference on Computational Linguistics, COLING ’94, vol. 1, pp. 304–309 (1994)

    Google Scholar 

  15. Ozsoy, M.G., Cicekli, I., Alpaslan, F.N.: Text summarization of turkish texts using latent semantic analysis. In: Huang, C.R., Jurafsky, D. (eds.) Proceedings of the 23rd International Conference on Computational Linguistics, pp. 869–876. Tsinghua University Press (2010)

    Google Scholar 

  16. Pei-Ying, Z., Cun-He, L.: Automatic text summarization based on sentences clustering and extraction. In: Proceedings of 2nd IEEE International Conference on the Computer Science and Information Technology, pp. 167–170. IEEE (2009)

    Google Scholar 

  17. Qazvinian, V., Radev, D.: Scientific paper summarization using citation summarynetworks. In: Proceedings of the 22nd International Conference on Computational Linguistics, vol. 1, pp. 689–696 (2008)

    Google Scholar 

  18. Resnik, P.: Using information content to evaluate semantic similarity in a taxonomy. In: Proceedings of the 14th International Joint Conference on Artificial Intelligence, vol. 1, pp. 448–453 (1995)

    Google Scholar 

  19. Ritchie, A., Robertson, S., Teufel, S.: Comparing citation contexts for information retrieval. In: Proceedings of the 17th ACM Conference on Information and Knowledge Management. CIKM ’08, pp. 213–222. ACM, New York (2008)

    Google Scholar 

  20. Saad, S.M., Kamarudin, S.S.: Comparative analysis of similarity measures for sentence level semantic measurement of text. In: IEEE International Conference on Control System, Computing and Engineering, pp. 90–94. IEEE (2013)

    Google Scholar 

  21. Steinberger, J., Ježek, K.: Using latent semantic analysis in text summarization and summary evaluation. In: Proceedings of Industrial Management, ISIM ’04, pp. 93–100 (2004)

    Google Scholar 

  22. Svore, K.M., Vanderwende, L., Burges, C.: Enhancing single-document summarization by combining ranknet and third-party sources. In: Proceedings of Conference on Empirical Methods on Natural Language Processing and Computational Natural Language Learning, pp. 448–457 (2007)

    Google Scholar 

  23. Torres-Moreno, J.M., Saggion, H., da Cunha, I., SanJuan, E.: Summary Evaluation With and Without References. Polibits: Research Journal on Computer Science and Computer Engineering with Applications 42, 13–19 (2010)

    Article  Google Scholar 

  24. Zechner, K.: Fast generation of abstracts from general domain text corpora by extracting relevant sentences. In: Proceedings of the 16th Conference on Computational Linguistics, vol. 2, pp. 986–989 (1996)

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Applied Sciences Western Switzerland (HES–SO), Sierre, Switzerland

    Sandra Mitrović & Henning Müller

Authors
  1. Sandra Mitrović
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  2. Henning Müller
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Corresponding author

Correspondence to Sandra Mitrović .

Editor information

Editors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse, Toulouse , France

    Josanne Mothe

  2. Department of Computer Science, University of Neuchatel, Neuchâtel, Switzerland

    Jacques Savoy

  3. Faculteit der Geesteswetenschappen, Universiteit Amsterdam, Amsterdam, The Netherlands

    Jaap Kamps

  4. Institut de Recherche en Informatique de Toulouse, Toulouse, France

    Karen Pinel-Sauvagnat

  5. School of Computing, Dublin City University, Dublin, Ireland

    Gareth Jones

  6. LIA - CERI, Université d'Avignon et des Pays de Vaucluse, Avignon, France

    Eric San Juan

  7. Department of Information Engineering, University of Padua, Padua, Italy

    Linda Capellato

  8. of Information Engineering (DEI), University of Padua, Department, Padova, Italy

    Nicola Ferro

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Mitrović, S., Müller, H. (2015). Summarizing Citation Contexts of Scientific Publications. In: Mothe, J., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2015. Lecture Notes in Computer Science(), vol 9283. Springer, Cham. https://doi.org/10.1007/978-3-319-24027-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-24027-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24026-8

  • Online ISBN: 978-3-319-24027-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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