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Applying Semantic Classes in Event Detection and Tracking (2002) [9 citations — 2 self]

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by Juha Makkonen , Helena Ahonen-myka , Marko Salmenkivi

In: Proc. International Conference on Natural Language Processing (ICON'02

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@INPROCEEDINGS{Makkonen02applyingsemantic,
    author = {Juha Makkonen and Helena Ahonen-myka and Marko Salmenkivi},
    title = {Applying Semantic Classes in Event Detection and Tracking},
    booktitle = {In: Proc. International Conference on Natural Language Processing (ICON'02},
    year = {2002},
    pages = {175--183}
}

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Abstract:

Event detection and tracking is a somewhat recent area of information retrieval research. The detection is about spotting new, previously unreported real-life events from online news-feed, while the tracking assigns documents to previously spotted events. We propose a new vector model consisting of four semantic classes from the documents: locations, proper names, temporal expressions and normal terms that are stored in designated subvectors. We also propose a new similarity measure based on utilizing semantic classes. Moreover, due to the vagueness of the concept of event, we run our experiments with several different definitions.

Citations

155	Topic detection and tracking pilot study: Final report – Allan, Carbonell, et al. - 1998
48	Learning approaches for detecting and tracking news events – Yang, Carbonell, et al. - 1999
24	First story detection in TDT is hard – Allan, Lavrenko, et al. - 2000
16	Relevance models for topic detection and tracking – Lavrenko, Allan, et al. - 2002
15	Text segmentation and topic tracking on broadcast news via a hidden Markov model approach. The 5th international conference on spoken language processing – Mulbregt, Carp, et al. - 1998
14	Topic tracking for radio, tv broadcast, and newswire – Jin, Schwartz, et al. - 1999
12	On-line New Event Detection, Clustering and Tracking – Papka - 1999
9	Event tracking – Allan, Lavrenko, et al. - 1998
9	Large-scale Topic Detection and Language Model Adaptation – Seymore, Rosenfeld - 1997
8	Transcribing Multilingual Broadcast News Using Hypothesis Driven Lexicon Adaptation – Geutner, Finke, et al. - 1998
7	Topic detection and tracking pilot study report – Allan, Carbonell, et al. - 1998
2	Multiple annotations of reusable data resources: Corpora for topic detection and tracking – Cieri - 2000
2	Improving text categorization methods for event detection – Yang, Ault, et al. - 2000