A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Detecting events with date and place information in unstructured text
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Topic detection and tracking: event-based information organization
Topic detection and tracking: event-based information organization
Introduction to topic detection and tracking
Topic detection and tracking
Topic detection and tracking evaluation overview
Topic detection and tracking
Simple Semantics in Topic Detection and Tracking
Information Retrieval
Event threading within news topics
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Usefulness of temporal information automatically extracted from news articles for topic tracking
ACM Transactions on Asian Language Information Processing (TALIP)
Inferring temporal ordering of events in news
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A bootstrapping approach for geographic named entity annotation
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Quantifying the impact of concept recognition on biomedical information retrieval
Information Processing and Management: an International Journal
Indices of novelty for emerging topic detection
Information Processing and Management: an International Journal
Topic evolution prediction of user generated contents considering enterprise generated contents
Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research
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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, TDT can benefit from an explicit use of time and place information. In this work, we focused on place information, using time information as in the previous research. News articles were analyzed for their characteristics of place information, and a new topic tracking method was proposed to incorporate the analysis results on place information. Experiments show that appropriate use of place information extracted automatically from news articles indeed helps event tracking that identify news articles reporting on the same events.