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Automatic Topics Identification for Reviewer Assignment

  • S. Ferilli
  • N. Di Mauro
  • T. M. A. Basile
  • F. Esposito
  • M. Biba
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)

Abstract

Scientific conference management involves many complex and multi-faceted activities, which would make highly desirable for the organizing people to have a Web-based management system that makes some of them a little easier to carry out. One of such activities is the assignment of submitted papers to suitable reviewers, involving the authors, the reviewers and the conference chair. Authors that submit the papers usually must fill a form with paper title, abstract and a set of conference topics that fit their submission subject. Reviewers are required to register and declare their expertise on the conference topics (among other things). Finally, the conference chair has to carry out the review assignment taking into account the information provided by both the authors (about their paper) and the reviewers (about their competencies). Thus, all this subtasks needed for the assignment are currently carried out manually by the actors. While this can be just boring in the case of authors and reviewers, in case of conference chair the task is also very complex and time-consuming.

In this paper we propose the exploitation of intelligent techniques to automatically extract paper topics from their title and abstract, and the expertise of the reviewers from the titles of their publications available on the Internet. Successively, such a knowledge is exploited by an expert system able to automatically perform the assignments. The proposed methods were evaluated on a real conference dataset obtaining good results when compared to handmade ones, both in terms of quality and user-satisfaction of the assignments, and for reduction in execution time with respect to the case of humans performing the same process.

Keywords

Latent Semantic Indexing Coverage Degree Layout Analysis Conference Topic Reviewer Expertise 
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.

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References

  1. 1.
    Berry, M.W., Dumais, S.T., O’Brien, G.W.: Using linear algebra for intelligent information retrieval. SIAM Rev. 37(4), 573–595 (1995)CrossRefMATHMathSciNetGoogle Scholar
  2. 2.
    Breuel, T.M.: Two geometric algorithms for layout analysis. In: Lopresti, D.P., Hu, J., Kashi, R.S. (eds.) DAS 2002. LNCS, vol. 2423, p. 188. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Deerwester, S.C., Dumais, S.T., Landauer, T.K., Furnas, G.W., Harshman, R.A.: Indexing by latent semantic analysis. Journal of the American Society of Information Science 41(6), 391–407 (1990)CrossRefGoogle Scholar
  4. 4.
    Dietterich, T.G., Lathrop, R.H., Lozano-Perez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence 89(1-2), 31–71 (1997)CrossRefMATHGoogle Scholar
  5. 5.
    Esposito, F., Ferilli, S., Basile, T.M.A., Di Mauro, N.: Semantic-based access to digital document databases. In: Hacid, M.-S., Murray, N.V., Raś, Z.W., Tsumoto, S. (eds.) ISMIS 2005. LNCS (LNAI), vol. 3488, pp. 373–381. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  6. 6.
    Esposito, F., Ferilli, S., Fanizzi, N., Basile, T.M.A., Di Mauro, N.: Incremental multistrategy learning for document processing. Applied Artificial Intelligence: An International Journal 17(8/9), 859–883 (2003)CrossRefGoogle Scholar
  7. 7.
    Di Mauro, N., Basile, T.M.A., Ferilli, S.: Grape: An expert review assignment component for scientific conference management systems. In: Ali, M., Esposito, F. (eds.) IEA/AIE 2005. LNCS, vol. 3533, pp. 789–798. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  8. 8.
    Nierstrasz, O.: Identify the champion. In: Harrison, N., Foote, B., Rohnert, H. (eds.) Pattern Languages of Program Design, vol. 4, pp. 539–556. Addison-Wesley, Reading (2000)Google Scholar
  9. 9.
    O’Brien, G.W.: Information management tools for updating an SVD-encoded indexing scheme. Technical Report UT-CS-94-258, University of Tennessee (1994)Google Scholar
  10. 10.
    Porter, M.F.: An algorithm for suffix stripping. In: Karen, J.S., Willet, P. (eds.) Readings in information retrieval, pp. 313–316. Morgan Kaufmann Publishers Inc., San Francisco (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • S. Ferilli
    • 1
  • N. Di Mauro
    • 1
  • T. M. A. Basile
    • 1
  • F. Esposito
    • 1
  • M. Biba
    • 1
  1. 1.Dipartimento di InformaticaUniversity of BariItaly

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