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<!-- INSERT THE TEXT HERE -->

  <h1>Small TDT Bibliography</h1>


<dl>

<dt>
<a name="allan02detection"></a>[1]
</dt>
<dd>
James Allan.
  Detection as Multi-Topic Tracking.
  <i>Information Retrieval</i>, 5(2-3):139-157, 2002.<br />
[ <a href="./tdt-bib.html#allan02detection">bib</a> ]

<p>
</dd>


<dt>
<a name="allan02introduction"></a>[2]
</dt>
<dd>
James Allan.
  Introduction to topic detection and tracking.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 1-16. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#allan02introduction">bib</a> ]

<p>
</dd>


<dt>
<a name="allan02topic"></a>[3]
</dt>
<dd>
James Allan, editor.
  <i>Topic Detection and Tracking: Event-based Information
  Organization</i>.
  Kluwer Academic Publishers, Norvell, Massachusetts, 2002.<br />
[ <a href="./tdt-bib.html#allan02topic">bib</a> ]

<p>
</dd>


<dt>
<a name="allan98topic"></a>[4]
</dt>
<dd>
James Allan, Jaime Carbonell, George Doddington, Jonathan Yamron, and Yiming
  Yang.
  Topic detection and tracking pilot study: Final report.
  In <i>Proceedings of Broadcast News Transcription and Understanding
  Workshop</i>, pages 194-218, Lansdowne, VA, 1998. NIST.<br />
[ <a href="./tdt-bib.html#allan98topic">bib</a> ]

<p>
</dd>


<dt>
<a name="allan01temporal"></a>[5]
</dt>
<dd>
James Allan, Rahul Gupta, and Vikas Khandelal.
  Temporal summaries of news topics.
  In <i>Proceedings of the 24rd annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  10-18, 2001.<br />
[ <a href="./tdt-bib.html#allan01temporal">bib</a> ]

<p>
</dd>


<dt>
<a name="allan01topic"></a>[6]
</dt>
<dd>
James Allan, Rahul Gupta, and Vikas Khandelal.
  Topic models for summarizing novelty.
  In <i>Proceedings of Workshop on Language Modeling in Information
  Retrieval</i>, pages 66-71, 2001.<br />
[ <a href="./tdt-bib.html#allan01topic">bib</a> ]

<p>
</dd>


<dt>
<a name="allan99topic"></a>[7]
</dt>
<dd>
James Allan, Hubert Jin, Martin Rajman, Charles Wayne, Daniel Gildea, Victor
  Lavrenko, Rose Hoberman, and David Caputo.
  Topic-based novelty detection.
  Technical report, Center for Language and Speech Processing, Johns
  Hopkins University, 1999.
  Summer Workshop Final Report.<br />
[ <a href="./tdt-bib.html#allan99topic">bib</a> | 
<a href="http://www.clsp.jhu.edu/ws99/">http</a> ]

<p>
</dd>


<dt>
<a name="allan00first"></a>[8]
</dt>
<dd>
James Allan, Victor Lavrenko, and Hubert Jin.
  First story detection in TDT is hard.
  In <i>Proceedings of the 2000 ACM CIKM International Conference on
  Information and Knowledge Management</i>, pages 374-381, McClean, VA, 2000. ACM
  Press.<br />
[ <a href="./tdt-bib.html#allan00first">bib</a> ]

<p>
</dd>


<dt>
<a name="allan00detections"></a>[9]
</dt>
<dd>
James Allan, Victor Lavrenko, Daniella Malin, and Russell Swan.
  Detections, bounds, and timelines: Umass and tdt-3.
  In <i>Proceedings of Topic Detection and Tracking (TDT-3)</i>, pages
  167-174, 2000.<br />
[ <a href="./tdt-bib.html#allan00detections">bib</a> ]

<p>
</dd>


<dt>
<a name="allan98event"></a>[10]
</dt>
<dd>
James Allan, Victor Lavrenko, and Ron Papka.
  Event tracking.
  Technical Report IR - 128, Department of Computer Science,
  University of Massachusetts, 1998.<br />
[ <a href="./tdt-bib.html#allan98event">bib</a> ]

<p>
</dd>


<dt>
<a name="allan02explorations"></a>[11]
</dt>
<dd>
James Allan, Victor Lavrenko, and Russell Swan.
  Explorations within topic tracking and detection.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 197-224. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#allan02explorations">bib</a> ]

<p>
</dd>


<dt>
<a name="allan98online"></a>[12]
</dt>
<dd>
James Allan, Ron Papka, and Victor Lavrenko.
  On-line new event detection and tracking.
  In <i>Proceedings of the 21st annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  37-45, Melbourne, Australia, 1998. ACM Press.<br />
[ <a href="./tdt-bib.html#allan98online">bib</a> ]

<p>
</dd>


<dt>
<a name="allan03retrieval"></a>[13]
</dt>
<dd>
James Allan, Courtney Wade, and Alvaro Bolivar.
  Retrieval and novelty detection at the sentence level.
  In <i>Proceedings of the 26th annual international ACM SIGIR
  conference on Research and development in informaion retrieval</i>, pages
  314-321. ACM Press, 2003.<br />
[ <a href="./tdt-bib.html#allan03retrieval">bib</a> ]

<p>
</dd>


<dt>
<a name="baker99hierarchical"></a>[14]
</dt>
<dd>
L.&nbsp;Douglas Baker, Thomas Hofmann, Andrew McCallum, and Yiming Yang.
  A hierarchical probabilistic model for novelty detection in text.
  unpublished manuscript, 1999.<br />
[ <a href="./tdt-bib.html#baker99hierarchical">bib</a> ]

<p>
</dd>


<dt>
<a name="brants03system"></a>[15]
</dt>
<dd>
Thorsten Brants and Francine Chen.
  A system for new event detection.
  In <i>Proceedings of the 26th annual international ACM SIGIR
  conference on Research and development in informaion retrieval</i>, pages
  330-337. ACM Press, 2003.<br />
[ <a href="./tdt-bib.html#brants03system">bib</a> ]

<p>
</dd>


<dt>
<a name="carthy00design"></a>[16]
</dt>
<dd>
Joe Carthy and Alan Smeaton.
  The design of a topic tracking system.
  In <i>Proceedings of 22nd Annual Colloquim on Information Retrieval
  Reseach</i>, 2000.<br />
[ <a href="./tdt-bib.html#carthy00design">bib</a> ]

<p>
</dd>


<dt>
<a name="carthy02lexical"></a>[17]
</dt>
<dd>
Joseph Carthy.
  <i>Lexical Chains for Topic Tracking</i>.
  PhD thesis, Department of Computer Science, National University of
  Dublin, 2002.<br />
[ <a href="./tdt-bib.html#carthy02lexical">bib</a> ]

<p>
</dd>


<dt>
<a name="chen02nlp"></a>[18]
</dt>
<dd>
Hsin-Hsi Chen and Lun-Wei Ku.
  A NLP &amp; IR approach to topic detection.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 243-264. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#chen02nlp">bib</a> ]

<p>
</dd>


<dt>
<a name="cieri00multiple"></a>[19]
</dt>
<dd>
Christopher Cieri.
  Multiple annotations of reusable data resources: Corpora for topic
  detection and tracking.
  In <i>Actes 5ième Journées Internationales d'Analyse
  Statistique des Données Textuelles (JADT)</i>, 2000.<br />
[ <a href="./tdt-bib.html#cieri00multiple">bib</a> ]

<p>
</dd>


<dt>
<a name="cieri02corpora"></a>[20]
</dt>
<dd>
Christopher Cieri, Stephanie Strassel, David Graff, Nii Martey, Kara Rennert,
  and Mark Liberman.
  Corpora for topic detection and tracking.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 33-66. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#cieri02corpora">bib</a> ]

<p>
</dd>


<dt>
<a name="dharanipragada02segmentation"></a>[21]
</dt>
<dd>
S.&nbsp;Dharanipragada, M.&nbsp;Franz, J.&nbsp;S. McCarley, T.&nbsp;Ward, and W.-J. Zhu.
  Segmentation and detection at ibm.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 135-148. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#dharanipragada02segmentation">bib</a> ]

<p>
</dd>


<dt>
<a name="eichmann02clusterbased"></a>[22]
</dt>
<dd>
David Eichmann and Padmini Srinivasan.
  A cluster-based approach to broadcast news.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 149-174. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#eichmann02clusterbased">bib</a> ]

<p>
</dd>


<dt>
<a name="fiscus02topic"></a>[23]
</dt>
<dd>
Jonathan Fiscus and George Doddington.
  Topic detection and tracking evaluation overview.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 17-31. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#fiscus02topic">bib</a> ]

<p>
</dd>


<dt>
<a name="franz01unsupervised"></a>[24]
</dt>
<dd>
Martin Franz, Todd Ward, J.&nbsp;Scott McCarley, and Wei-Jing Zhu.
  Unsupervised and supervised clustering for topic tracking.
  In <i>Proceedings of the 24th annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  310-317. ACM Press, 2001.<br />
[ <a href="./tdt-bib.html#franz01unsupervised">bib</a> ]

<p>
</dd>


<dt>
<a name="fukumoto00event"></a>[25]
</dt>
<dd>
Fumiyo Fukumoto and Yoshimi Suzuki.
  Event tracking based on domain dependency.
  In <i>Proceedings of the 23rd annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  57-64. ACM Press, 2000.<br />
[ <a href="./tdt-bib.html#fukumoto00event">bib</a> ]

<p>
</dd>


<dt>
<a name="gerner94analysis"></a>[26]
</dt>
<dd>
Deborah&nbsp;J. Gerner, Philip&nbsp;A. Schrodt, Ronald Francisco, and Julie&nbsp;L. Weddle.
  The analysis of political events using machine coded data.
  <i>International Studies Quarterly</i>, 38:91-119, 1994.<br />
[ <a href="./tdt-bib.html#gerner94analysis">bib</a> ]

<p>
</dd>


<dt>
<a name="geutner98transcribing"></a>[27]
</dt>
<dd>
Petra Geutner, Micheal Finke, Peter Scheytt, Alex Waibel, and Howard Wactlar.
  Transcribing multilingual broadcast news using hypothesis driven
  lexical adaptation.
  In <i>Proceedings of DARPA Broadcast News Workshop</i>, 1998.<br />
[ <a href="./tdt-bib.html#geutner98transcribing">bib</a> ]

<p>
</dd>


<dt>
<a name="hatch00topic"></a>[28]
</dt>
<dd>
Paula Hatch, Nicola Stokes, and Joe Carthy.
  Topic detection, a new application for lexical chaining?
  In <i>Proceedings of BCS- IRSG 2000, the 22nd Annual Colloquim on
  Information Retrieval Research</i>, pages 94-103. Cambridge, UK, 2000.<br />
[ <a href="./tdt-bib.html#hatch00topic">bib</a> ]

<p>
</dd>


<dt>
<a name="hatzivassiloglou00investigation"></a>[29]
</dt>
<dd>
Vasileios Hatzivassiloglou, Luis Gravano, and Ankineedu Maganti.
  An investigation of linguistic features and clustering algorithms for
  topical document clustering.
  In <i>Proceedings of the 23rd annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  224-231. ACM Press, 2000.<br />
[ <a href="./tdt-bib.html#hatzivassiloglou00investigation">bib</a> ]

<p>
</dd>


<dt>
<a name="jin99topic"></a>[30]
</dt>
<dd>
Hubert Jin, Rich Schwartz, Sreenivasa Sista, and Frederick Walls.
  Topic tracking for radio, tv broadcast, and newswire.
  In <i>Proceedings of DARPA Broadcast News Workshop</i>, 1999.<br />
[ <a href="./tdt-bib.html#jin99topic">bib</a> ]

<p>
</dd>


<dt>
<a name="kleinberg02bursty"></a>[31]
</dt>
<dd>
Jon Kleinberg.
  Bursty and hierarchical structure in streams.
  In <i>Proceedings of the eighth ACM SIGKDD international conference
  on Knowledge discovery and data mining</i>, pages 91-101. ACM Press, 2002.<br />
[ <a href="./tdt-bib.html#kleinberg02bursty">bib</a> ]

<p>
</dd>


<dt>
<a name="lavrenko02relevance"></a>[32]
</dt>
<dd>
Victor Lavrenko, James Allan, Edward DeGuzman, Daniel LaFlamme, Veera Pollard,
  and Stephen Thomas.
  Relevance models for topic detection and tracking.
  In <i>Proceedings of Human Language Technology Conference (HLT)</i>,
  pages 104-110, 2002.<br />
[ <a href="./tdt-bib.html#lavrenko02relevance">bib</a> ]

<p>
</dd>


<dt>
<a name="leek02probabilistic"></a>[33]
</dt>
<dd>
Tim Leek, Richard Schwartz, and Srinivasa Sista.
  Probabilistic approaches to topic detection and tracking.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 67-84. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#leek02probabilistic">bib</a> ]

<p>
</dd>


<dt>
<a name="leuski02filtering"></a>[34]
</dt>
<dd>
Anton Leuski and James Allan.
  Filtering: Improving realism of topic tracking evaluation.
  In <i>Proceedings of the 25th annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  89-96. ACM Press, 2002.<br />
[ <a href="./tdt-bib.html#leuski02filtering">bib</a> ]

<p>
</dd>


<dt>
<a name="levow02signal"></a>[35]
</dt>
<dd>
Gina-Anne Levow and Douglas&nbsp;W. Ward.
  Signal boosting for translingual topic tracking.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 175-196. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#levow02signal">bib</a> ]

<p>
</dd>


<dt>
<a name="makkonen03investigations"></a>[36]
</dt>
<dd>
Juha Makkonen.
  Investigations on event evolution in TDT.
  In <i>Proceedings of Student Workshop of Human Language Technology
  Conference of the North American Chapter of the Association for Computational
  Linguistics (HLT-NAACL)</i>, pages 43-48, Edmonton, Canada, 2003.<br />
[ <a href="./tdt-bib.html#makkonen03investigations">bib</a> ]

<p>
</dd>


<dt>
<a name="makkonen03utilizing"></a>[37]
</dt>
<dd>
Juha Makkonen and Helena Ahonen-Myka.
  Utilizing temporal information in topic detection and tracking.
  In Traugott Koch and Ingeborg&nbsp;T. Solvberg, editors, <i>Proceedings
  of 7th European Conference on Digital Libraries (ECDL 2003)</i>, pages
  393-404, Trondheim, Norway, 2003. Springer-Verlag.<br />
[ <a href="./tdt-bib.html#makkonen03utilizing">bib</a> ]

<p>
</dd>


<dt>
<a name="makkonen02applying"></a>[38]
</dt>
<dd>
Juha Makkonen, Helena Ahonen-Myka, and Marko Salmenkivi.
  Applying semantic classes in event detection and tracking.
  In Rajeev Sangal and S.&nbsp;M. Bendre, editors, <i>Proceedings of
  International Conference on Natural Language Processing (ICON 2002)</i>, pages
  175-183, Mumbai, India, 2002.<br />
[ <a href="./tdt-bib.html#makkonen02applying">bib</a> ]

<p>
</dd>


<dt>
<a name="makkonen03topic"></a>[39]
</dt>
<dd>
Juha Makkonen, Helena Ahonen-Myka, and Marko Salmenkivi.
  Topic detection and tracking with spatio-temporal evidence.
  In Fabrizio Sebastiani, editor, <i>Proceedings of 25th European
  Conference on Information Retrieval Research (ECIR 2003)</i>, pages 251-265,
  Pisa, Italy, 2003. Springer-Verlag.<br />
[ <a href="./tdt-bib.html#makkonen03topic">bib</a> ]

<p>
</dd>


<dt>
<a name="makkonen04simple"></a>[40]
</dt>
<dd>
Juha Makkonen, Helena Ahonen-Myka, and Marko Salmenkivi.
  Simple semantics in topic detection and tracking.
  <i>Information Retrieval</i>, 7(3-4):347-368, 2004.<br />
[ <a href="./tdt-bib.html#makkonen04simple">bib</a> ]

<p>
</dd>


<dt>
<a name="manmatha02critical"></a>[41]
</dt>
<dd>
R.&nbsp;Manmatha, Ao&nbsp;Feng, and James Allan.
  A critical examination of TDT's cost function.
  In <i>Proceedings of the 25th annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  403-404. ACM Press, 2002.<br />
[ <a href="./tdt-bib.html#manmatha02critical">bib</a> ]

<p>
</dd>


<dt>
<a name="martin97det"></a>[42]
</dt>
<dd>
Alvin Martin, George Doddington, Terri Kamm, Mark Ordowski, and Mark Przybocki.
  The DET curve in assessment of detection task performance.
  In G.&nbsp;Kokkinakis, N.&nbsp;Fakotakis, and E.&nbsp;Dermatas, editors, <i>
  Proceedings of EuroSpeech'97, the 5th European Conference on Speech
  Communication and Technology</i>, volume&nbsp;4, pages 1895-1898. ESCA, 1997.<br />
[ <a href="./tdt-bib.html#martin97det">bib</a> ]

<p>
</dd>


<dt>
<a name="mccarley00influence"></a>[43]
</dt>
<dd>
J.&nbsp;Scott McCarley and Martin Franz.
  Influence of speech recognition errors on topic detection.
  In <i>Proceedings of the 23rd annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  342-344. ACM Press, 2000.<br />
[ <a href="./tdt-bib.html#mccarley00influence">bib</a> ]

<p>
</dd>


<dt>
<a name="nallapati02capturing"></a>[44]
</dt>
<dd>
Ramesh Nallapati and James Allan.
  Capturing term dependencies using a language model based on sentence
  trees.
  In <i>Proceedings of the eleventh international conference on
  Information and knowledge management</i>, pages 383-390. ACM Press, 2002.<br />
[ <a href="./tdt-bib.html#nallapati02capturing">bib</a> ]

<p>
</dd>


<dt>
<a name="papka99online"></a>[45]
</dt>
<dd>
Ron Papka.
  <i>On-line New Event Detection, Clustering and Tracking</i>.
  PhD thesis, Department of Computer Science, University of
  Massachusetts, 1999.<br />
[ <a href="./tdt-bib.html#papka99online">bib</a> ]

<p>
</dd>


<dt>
<a name="papka98online"></a>[46]
</dt>
<dd>
Ron Papka and James Allan.
  On-line new event detection using single-pass clustering.
  Technical Report IR-123, Department of Computer Science, University
  of Massachusetts, 1998.<br />
[ <a href="./tdt-bib.html#papka98online">bib</a> ]

<p>
</dd>


<dt>
<a name="pons02temporal"></a>[47]
</dt>
<dd>
A.&nbsp;Pons, R.&nbsp;Berlanga, and J.&nbsp;Rumz-Shulcloper.
  Temporal-semantic clustering of newspaper articles for event
  detection.
  In <i>Proceedings of Pattern Recognition in Information Systems
  (PRIS2002)</i>, pages 104-113, 2002.<br />
[ <a href="./tdt-bib.html#pons02temporal">bib</a> ]

<p>
</dd>


<dt>
<a name="schultz02towards"></a>[48]
</dt>
<dd>
J.&nbsp;Michael Schultz and Mark&nbsp;Y. Liberman.
  Towards a universal dictionary for multi-language ir applications.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 225-242. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#schultz02towards">bib</a> ]

<p>
</dd>


<dt>
<a name="seymore97large"></a>[49]
</dt>
<dd>
Kristie Seymore and Ronald Rosenfeld.
  Large-scale topic detection and language model adaptation.
  Technical report, School of Computer Science, Carnegie Mellon
  University, 1997.<br />
[ <a href="./tdt-bib.html#seymore97large">bib</a> ]

<p>
</dd>


<dt>
<a name="stokes01combining"></a>[50]
</dt>
<dd>
Nicola Stokes and Joe Carthy.
  Combining semantic and syntactic document classifiers to improve
  first story detection.
  In <i>Proceedings of the 24rd annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  424-425. ACM Press, 2001.<br />
[ <a href="./tdt-bib.html#stokes01combining">bib</a> ]

<p>
</dd>


<dt>
<a name="stokes02segmenting"></a>[51]
</dt>
<dd>
Nicola Stokes, Joe Carthy, and Alan&nbsp;F. Smeaton.
  Segmenting broadcast news streams using lexical chains.
  In <i>Proceedings of STarting AI Researchers Symposium, (STAIRS
  2002)</i>, pages 145-154, Lyon, France, 2002.<br />
[ <a href="./tdt-bib.html#stokes02segmenting">bib</a> ]

<p>
</dd>


<dt>
<a name="stokes00lexical"></a>[52]
</dt>
<dd>
Nicola Stokes, Paula Hatch, and Joe Carthy.
  Lexical semantic relatedness and online new event detection.
  In <i>Proceedings of the 23rd annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  324-325, 2000.<br />
[ <a href="./tdt-bib.html#stokes00lexical">bib</a> ]

<p>
</dd>


<dt>
<a name="swan99extracting"></a>[53]
</dt>
<dd>
Russell Swan and James Allan.
  Extracting significant time varying features from text.
  In <i>Proceedings of the eighth international conference on
  Information and Knowledge management (CIKM-99)</i>, pages 38-45. ACM Press,
  1999.<br />
[ <a href="./tdt-bib.html#swan99extracting">bib</a> ]

<p>
</dd>


<dt>
<a name="vanMulbregt98text"></a>[54]
</dt>
<dd>
Paul van Mulbregt, Ira Carp, Lawrence Gillick, Stewe Lowe, and Jon Yamron.
  Text segmentation and topic tracking on broadcast news via a hidden
  markov model approach.
  In <i>Proceedings of 5th Intl. Conference on Spoken Language
  Processing (ICSLP-98)</i>, 1998.<br />
[ <a href="./tdt-bib.html#vanMulbregt98text">bib</a> ]

<p>
</dd>


<dt>
<a name="yamron02statistical"></a>[55]
</dt>
<dd>
J.&nbsp;P. Yamron, L.&nbsp;Gillick, P.&nbsp;van Mulbregt, and S.&nbsp;Knecht.
  Statistical models of topical content.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 115-134. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#yamron02statistical">bib</a> ]

<p>
</dd>


<dt>
<a name="yang00improving"></a>[56]
</dt>
<dd>
Yiming Yang, Tom Ault, Thomas Pierce, and Charles&nbsp;W. Lattimer.
  Improving text categorization methods for event tracking.
  In <i>Proceedings of the 23rd annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  65-72. ACM Press, 2000.<br />
[ <a href="./tdt-bib.html#yang00improving">bib</a> ]

<p>
</dd>


<dt>
<a name="yang02multistrategy"></a>[57]
</dt>
<dd>
Yiming Yang, Jaime Carbonell, Ralf Brown, John Lafferty, Thomas Pierce, and
  Thomas Ault.
  Multi-strategy learning for tdt.
  In James Allan, editor, <i>Topic Detection and Tracking -
  Event-based Information Organization</i>, pages 85-114. Kluwer Academic
  Publisher, 2002.<br />
[ <a href="./tdt-bib.html#yang02multistrategy">bib</a> ]

<p>
</dd>


<dt>
<a name="yang99learning"></a>[58]
</dt>
<dd>
Yiming Yang, Jaime Carbonell, Ralf Brown, Thomas Pierce, Brian&nbsp;T. Archibald,
  and Xin Liu.
  Learning approaches for detecting and tracking news events.
  <i>IEEE Intelligent Systems Special Issue on Applications of
  Intelligent Information Retrieval</i>, 14(4):32-43, 1999.<br />
[ <a href="./tdt-bib.html#yang99learning">bib</a> ]

<p>
</dd>


<dt>
<a name="yang98study"></a>[59]
</dt>
<dd>
Yiming Yang, Thomas Pierce, and Jaime Carbonell.
  A study on retrospective and on-line event detection.
  In <i>Proceedings of the 21st annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  28-36. ACM Press, 1998.<br />
[ <a href="./tdt-bib.html#yang98study">bib</a> ]

<p>
</dd>


<dt>
<a name="yang02topic"></a>[60]
</dt>
<dd>
Yiming Yang, Jian Zhang, Jaime Carbonell, and Chun Jin.
  Topic-conditioned novelty detection.
  In <i>Proceedings of the eighth ACM SIGKDD international conference
  on Knowledge discovery and data mining</i>, pages 688-693. ACM Press, 2002.<br />
[ <a href="./tdt-bib.html#yang02topic">bib</a> ]

<p>
</dd>


<dt>
<a name="zhang02novelty"></a>[61]
</dt>
<dd>
Yi&nbsp;Zhang, Jamie Callan, and Thomas Minka.
  Novelty and redundancy detection in adaptive filtering.
  In <i>Proceedings of the 25th annual international ACM SIGIR
  conference on Research and development in information retrieval</i>, pages
  81-88. ACM Press, 2002.<br />
[ <a href="./tdt-bib.html#zhang02novelty">bib</a> ]

<p>
</dd>
</dl>


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