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Applying Semantic Classes in Event Detection and Tracking

, , and . In: Proc. International Conference on Natural Language Processing (ICON'02, page 175--183. (2002)

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Mining all maximal frequent word sequences in a set of sentences.. CIKM, page 255-256. ACM, (2005)Topic Detection and Tracking with Spatio-Temporal Evidence., , and . ECIR, volume 2633 of Lecture Notes in Computer Science, page 251-265. Springer, (2003)Algorithm for Maximal Frequent Sequences in Document Clustering, and . (November 2002)Simple Semantics in Topic Detection and Tracking., , and . Inf. Retr., 7 (3-4): 347-368 (2004)Utilizing Temporal Information in Topic Detection and Tracking., and . ECDL, volume 2769 of Lecture Notes in Computer Science, page 393-404. Springer, (2003)Discovery of Frequent Word Sequences in Text.. Pattern Detection and Discovery, volume 2447 of Lecture Notes in Computer Science, page 180-189. Springer, (2002)Applying Semantic Classes in Event Detection and Tracking, , and . In: Proc. International Conference on Natural Language Processing (ICON'02, page 175--183. (2002)Ontology-based Knowledge in Interactive Maintenance Guide., , , , , , , , , and 1 other author(s). HICSS, page 47. IEEE Computer Society, (2007)An efficient any language approach for the integration of phrases in document retrieval., and . Lang. Resour. Evaluation, 44 (1-2): 159-180 (2010)Automatic discovery of word semantic relations using paraphrase alignment and distributional lexical semantics analysis., , , , and . Nat. Lang. Eng., 16 (4): 439-467 (2010)