Improving text categorization methods for event tracking
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Learning Approaches for Detecting and Tracking News Events
IEEE Intelligent Systems
Example-Based Machine Translation in the Pangloss system
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
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As the flood of information continues to grow, it becomes ever more necessary to extract just the portion of the flow which is of interest to each user. The Topic Detection and Tracking (TDT) project [1, 3, 6, 5] addressed and continues to address this need, but has been of necessity applied in a batch-processing context on a static collection. What is required for topic detection and tracking to be of utility to end-users is a real-time system which operates on a live stream of information. This paper describes the extension and modification of a batch-oriented tracking system into a real-time server for event detection, event tracking, document summarization, and translation.