A study of retrospective and on-line event detection
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On-line new event detection and tracking
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Improving text categorization methods for event tracking
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Maintaining knowledge about temporal intervals
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Temporal summaries of new topics
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Topic Detection and Tracking: Event-Based Information Organization
Topic Detection and Tracking: Event-Based Information Organization
Detection As Multi-Topic Tracking
Information Retrieval
Learning Approaches for Detecting and Tracking News Events
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Hierarchical Text Classification and Evaluation
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Topic detection and tracking
Topic-conditioned novelty detection
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K-means clustering via principal component analysis
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Event threading within news topics
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Investigations on event evolution in TDT
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A probabilistic model for retrospective news event detection
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Discovering evolutionary theme patterns from text: an exploration of temporal text mining
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A Framework for On-Demand Classification of Evolving Data Streams
IEEE Transactions on Knowledge and Data Engineering
Discovering event evolution graphs from newswires
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An information delivery system with automatic summarization for mobile commerce
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Clustering over Multiple Evolving Streams by Events and Correlations
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Using Webcast Text for Semantic Event Detection in Broadcast Sports Video
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An Aging Theory for Event Life-Cycle Modeling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Discovering Event Evolution Patterns From Document Sequences
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Social tags as news event detectors
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Following the social media: aspect evolution of online discussion
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Efficient keyword extraction for meaningful document perception
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Learning to explore spatio-temporal impacts for event evaluation on social media
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Event linking: grounding event reference in a news archive
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Extracting news blog hot topics based on the W2T Methodology
World Wide Web
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Given the advance of Internet technologies, we can now easily extract hundreds or thousands of news stories of any ongoing incidents from newswires such as CNN.com, but the volume of information is too large for us to capture the blueprint. Information retrieval techniques such as Topic Detection and Tracking are able to organize news stories as events, in a flat hierarchical structure, within a topic. However, they are incapable of presenting the complex evolution relationships between the events. We are interested to learn not only what the major events are but also how they develop within the topic. It is beneficial to identify the seminal events, the intermediary and ending events, and the evolution of these events. In this paper, we propose to utilize the event timestamp, event content similarity, temporal proximity, and document distributional proximity to model the event evolution relationships between events in an incident. An event evolution graph is constructed to present the underlying structure of events for efficient browsing and extracting of information. Case study and experiments are presented to illustrate and show the performance of our proposed technique. It is found that our proposed technique outperforms the baseline technique and other comparable techniques in previous work.