@inproceedings{Fiscus98,
        title = {NIST's 1998 Topic Detection and Tracking Evaluation (TDT2)},
        address = {Virginia, US},
        author = {Jonathan G. Fiscus and George Doddington and John S. Garofolo and Alvin Martin},
        booktitle = {Proc. of the DARPA Broadcast News Workshop},
        year = 1998,
        description = {The big one},
	biburl = {http://www.bibsonomy.org/bibtex/25f0e2f5fef43b240f92eaa24fd203cc0/renew},
	keywords = {tracking evaluation detection topic tdt}
}

@inproceedings{conf/ecir/MakkonenAS03,
        title = {Topic Detection and Tracking with Spatio-Temporal Evidence.},
        author = {Juha Makkonen and Helena Ahonen-Myka and Marko Salmenkivi},
        booktitle = {ECIR},
        crossref = {conf/ecir/2003},
        editor = {Fabrizio Sebastiani},
        pages = {251-265},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        volume = 2633,
        year = 2003,
        url = {http://dblp.uni-trier.de/db/conf/ecir/ecir2003.html#MakkonenAS03},
        ee = {http://link.springer.de/link/service/series/0558/bibs/2633/26330251.htm},
	isbn = {3-540-01274-5},
	date = {2003-04-30},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/28ca69f31e7ab051f5576807162bf31bb/renew},
	keywords = {detection temporal tdt topic}
}

@inproceedings{conf/ercimdl/MakkonenA03,
        title = {Utilizing Temporal Information in Topic Detection and Tracking.},
        author = {Juha Makkonen and Helena Ahonen-Myka},
        booktitle = {ECDL},
        crossref = {conf/ercimdl/2003},
        editor = {Traugott Koch and Ingeborg Sølvberg},
        pages = {393-404},
        publisher = {Springer},
        series = {Lecture Notes in Computer Science},
        volume = 2769,
        year = 2003,
        url = {http://dblp.uni-trier.de/db/conf/ercimdl/ecdl2003.html#MakkonenA03},
        isbn = {3-540-40726-X},
	date = {2003-10-10},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/247d9bbc0a4295471084bffaf29c75d74/renew},
	keywords = {tdt detection topic temporal}
}

@article{newman2004crr,
        title = {{Comparing Redundancy Removal Techniques for Multi-Document Summarisation}},
        author = {E. Newman and W. Domn and N. Stokes and J. Carthy and J. Dunnion},
        journal = {Stairs 2004: Proceedings of the Second Starting AI Researchers' Symposium},
        publisher = {IOS Press},
        year = 2004,
        biburl = {http://www.bibsonomy.org/bibtex/2eda54bb84022c47e3e25234a2ef3221d/renew},
	keywords = {sentence removal redundancy duplicate detection summarization}
}

@article{1224718,
        title = {Topic discovery based on text mining techniques},
        address = {Tarrytown, NY, USA},
        author = {Aurora Pons-Porrata and Rafael Berlanga-Llavori and Jos\'{e} Ruiz-Shulcloper},
        journal = {Inf. Process. Manage.},
        number = 3,
        pages = {752--768},
        publisher = {Pergamon Press, Inc.},
        volume = 43,
        year = 2007,
        url = {http://portal.acm.org/citation.cfm?id=1224718},
        issn = {0306-4573},
	doi = {http://dx.doi.org/10.1016/j.ipm.2006.06.001},
	description = {Topic discovery based on text mining techniques},
	abstract = {In this paper, we present a topic discovery system aimed to reveal the implicit knowledge present in news streams. This knowledge is expressed as a hierarchy of topic/subtopics, where each topic contains the set of documents that are related to it and a summary extracted from these documents. Summaries so built are useful to browse and select topics of interest from the generated hierarchies. Our proposal consists of a new incremental hierarchical clustering algorithm, which combines both partitional and agglomerative approaches, taking the main benefits from them. Finally, a new summarization method based on Testor Theory has been proposed to build the topic summaries. Experimental results in the TDT2 collection demonstrate its usefulness and effectiveness not only as a topic detection system, but also as a classification and summarization tool.},
	biburl = {http://www.bibsonomy.org/bibtex/25095275ddb32f4138ee5018a6a4f3fc6/renew},
	keywords = {mining detection text topic}
}

@inproceedings{conf/iui/CselleAW07,
        title = {BuzzTrack: topic detection and tracking in email.},
        author = {Gabor Cselle and Keno Albrecht and Roger Wattenhofer},
        booktitle = {Intelligent User Interfaces},
        crossref = {conf/iui/2007},
        editor = {David N. Chin and Michelle X. Zhou and Tessa A. Lau and Angel R. Puerta},
        pages = {190-197},
        publisher = {ACM},
        year = 2007,
        url = {http://dblp.uni-trier.de/db/conf/iui/iui2007.html#CselleAW07},
        ee = {http://doi.acm.org/10.1145/1216295.1216331},
	isbn = {1-59593-481-2},
	date = {2007-04-30},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2c0663174db640752e756736e636e0cf9/renew},
	keywords = {detection topic email}
}