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.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Allan, J., et al.: Topic Detection and Tracking pilot Study Final Report. In: Proceedings of the DARPA Broadcast News Transcription and Understanding workshop (1998)
Allan, J. (ed.): Topic Detection and Tracking: Event based Information Organization. Kluwer Academic Publishers, Dordrecht (2000)
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)
Chinchor, N.: MUC-7 Information Extraction Task Definition, Version 5.1. In: Proceedings of the 7th Message Understanding Conference (MUC-7) (1998)
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)
Juha, M., Helena, A.M., Marko, M.K.: Simple Semantic in Topic Detection and Tracking. Information Retrieval 7, 347–368 (2004)
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)
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)
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)
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)
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)
Smith, D.A.: Detecting Events with Date and Place Information in Unstructured Text. In: JCDL 2002, Portland, Oregon, USA (2002)
Sundheim, B., Chinchor, N.: Named Entity Task Definition, Version 2.0. In: Proceedings of the 6th Message Understanding Conference (MUC-6) (1995)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)