Advertisement

JERARTOP: A New Topic Detection System

  • Aurora Pons-Porrata
  • Rafael Berlanga-Llavori
  • José Ruiz-Shulcloper
  • Juan Manuel Pérez-Martínez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)

Abstract

In this paper we present an on-line detection system, named JERARTOP, which goes beyond traditional detection systems, because it generates the implicit knowledge of a stream of documents. This knowledge is expressed as a taxonomy of topics/events, which is automatically built by the system in an incremental way. Moreover, the proposed detection system also annotates each detected topic using a set of predefined subjects, as well as it provides a summary for the topic. The experimental results demonstrate its usefulness and its effectiveness as a detection system.

Keywords

Document Cluster Cluster Representative Topic Detection Cosine Measure Global Architecture 
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.

References

  1. 1.
    Allan, J., Carbonell, J., Doddington, G., Yamron, J., Yang, Y.: Topic Detection and Tracking Pilot Study: Final Report. In: Proceedings of DARPA Broadcast News Transcription and Understanding Workshop, pp. 194–218 (1998)Google Scholar
  2. 2.
    National Institute of Standards and Technology. The Topic Detection and Tracking Phase 2 (TDT2) evaluation plan. version 3.7 (1998)Google Scholar
  3. 3.
    Carbonell, J., Yang, Y., Lafferty, J., Brown, R.D., Pierce, T., Liu, X.: CMU Report on TDT-2: Segmentation, detection and tracking. In: Proceedings of DARPA Broadcast News Workshop, pp. 117–120 (1999)Google Scholar
  4. 4.
    Yamron, J.: Dragonś Tracking and Detection Systems for TDT2000 Evaluation. In: Proceedings of Topic Detection & Tracking Workshop, pp. 75–80 (2000)Google Scholar
  5. 5.
    Allan, J., Lavrenko, V., Frey, D., Khandelwal, V.: UMASS at TDT 2000. In: Proceedings TDT 2000 Workshop (2000)Google Scholar
  6. 6.
    Brants, T., Chen, F., Farahat, A.: A System for New Event Detection. Annual ACM Conference on Research and Development in Information Retrieval. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and Development in Information Retrieval SIGIR 2003, Toronto, Canada (2003)Google Scholar
  7. 7.
    Pons-Porrata, A., Berlanga-Llavori, R., Ruiz-Shulcloper, J.: On-line event and topic detection by using the compact sets clustering. Journal of Intelligent and Fuzzy Systems (3-4), 185–194 (2002)Google Scholar
  8. 8.
    Pons-Porrata, A., Berlanga-Llavori, R., Ruiz-Shulcloper, J.: Building a hierarchy of events and topics for newspaper digital libraries. In: Sebastiani, F. (ed.) ECIR 2003. LNCS, vol. 2633, Springer, Heidelberg (2003)CrossRefGoogle Scholar
  9. 9.
    Pons-Porrata, A., Ruiz-Shulcloper, J., Berlanga-Llavori, R.: A method for the automatic summarization of topic-based clusters of documents. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds.) CIARP 2003. LNCS, vol. 2905, pp. 596–603. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  10. 10.
    Pons-Porrata, A., Berlanga-Llavori, R., Ruiz-Shulcloper, J.: A new word sense disambiguation method using WordNet. In: Proceedings of X Conference of the Spanish Association for the Artificial Intelligence, vol. II, pp. 63–66 (2003) (in Spanish)Google Scholar
  11. 11.
    Fiscus, J.G., Doddington, G., Garofolo, J.S., Martin, A.: Nist’s 1998 topic detection and tracking evaluation (tdt2). In: Proc. of the DARPA Broadcast News Workshop (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Aurora Pons-Porrata
    • 1
  • Rafael Berlanga-Llavori
    • 2
  • José Ruiz-Shulcloper
    • 3
  • Juan Manuel Pérez-Martínez
    • 2
  1. 1.Universidad de OrienteSantiago de CubaCuba
  2. 2.Universitat Jaume ICastellónSpain
  3. 3.Advanced Technologies Application CenterMINBASCuba

Personalised recommendations