Skip to main content

Effective Use of Place Information for Event Tracking

  • Conference paper
Book cover Information Retrieval Technology (AIRS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3689))

Included in the following conference series:

  • 1000 Accesses

Abstract

The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at a specific time and place, and the unavoidable consequences, it is conceivable that place information in a news article plays an important role in TDT. We analyzed news articles for their characteristics of place information and devised a new topic tracking method incorporating the analysis results. Experiments show that appropriate use of place information indeed helps identifying news articles reporting on the same events.

This research was partially supported by ETRI QA project.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allan, J., et al.: Topic Detection and Tracking pilot Study Final Report. In: Proceedings of the DARPA Broadcast News Transcription and Understanding workshop (1998)

    Google Scholar 

  2. Allan, J. (ed.): Topic Detection and Tracking: Event based Information Organization. Kluwer Academic Publishers, Dordrecht (2000)

    Google Scholar 

  3. Allan, J.: Introduction to Topic Detection and Tracking. In: Topic Detection and Tracking: Event-based Information Organization, pp. 1–16. Kluwer Academic Publishers, Dordrecht (2002)

    Google Scholar 

  4. Chinchor, N.: MUC-7 Information Extraction Task Definition, Version 5.1. In: Proceedings of the 7th Message Understanding Conference (MUC-7) (1998)

    Google Scholar 

  5. Chung, E.S., Lim, S.J., Hwang, Y.G., Jang, M.G.: Hybrid Named Entity Recognition for Question-Answering System. In: INTERSPEECH 2004 ICSLP (2004)

    Google Scholar 

  6. Juha, M., Helena, A.M., Marko, M.K.: Simple Semantic in Topic Detection and Tracking. Information Retrieval 7, 347–368 (2004)

    Article  Google Scholar 

  7. Kim, P., Myaeng, S.H.: Usefulness of Temporal Information Automatically Extracted from News Articles for Topic Tracking. The Journal of ACM Translations on Asian Language Information Processing (TALIP) 3(4) (2004)

    Google Scholar 

  8. Lee, S.W., Lee, G.B.: A bootstrapping Approach for Geographic Named Entity Annotation. In: Myaeng, S.-H., Zhou, M., Wong, K.-F., Zhang, H.-J. (eds.) AIRS 2004. LNCS, vol. 3411, pp. 178–189. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  9. Mani, I., Schiffman, B., Zhang, J.: Inferring temporal ordering of events in news. Short paper. In: Proceedings of the Human Language Technology Conference (HLT-NAACL 2003) (2003)

    Google Scholar 

  10. Mani, I., Wilson, G.: Robust temporal processing of news. In: Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics (ACL 2000), pp. 67–76 (2000)

    Google Scholar 

  11. Nallapati, R., Feng, A., Peng, F., Allan, J.: Event threading within news topics. In: Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management (CIKM) (2004)

    Google Scholar 

  12. Smith, D.A.: Detecting Events with Date and Place Information in Unstructured Text. In: JCDL 2002, Portland, Oregon, USA (2002)

    Google Scholar 

  13. Sundheim, B., Chinchor, N.: Named Entity Task Definition, Version 2.0. In: Proceedings of the 6th Message Understanding Conference (MUC-6) (1995)

    Google Scholar 

  14. Yang, Y., Pierce, T., Carbonell, J.: A Study on Retrospective and On-Line Event Detection. In: Proceedings of ACM SIGIR Conference on Research and development in information retrieval, pp. 28–36 (1998)

    Google Scholar 

  15. http://local.naver.com/

  16. http://cube.paran.com/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jin, Y., Myaeng, S.H., Lee, MH., Oh, HJ., Jang, MG. (2005). Effective Use of Place Information for Event Tracking. In: Lee, G.G., Yamada, A., Meng, H., Myaeng, S.H. (eds) Information Retrieval Technology. AIRS 2005. Lecture Notes in Computer Science, vol 3689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562382_32

Download citation

  • DOI: https://doi.org/10.1007/11562382_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29186-2

  • Online ISBN: 978-3-540-32001-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics