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Topic Detection


Topic Detection and Tracking Pilot Study: Final Report.
James Allan and Jaime Carbonell and George Doddington and Jonathan Yamron and Yiming Yang.
Proceedings of Broadcast News Transcription and Understanding Workshop. Lansdowne, VA. 1998. 194--218.

On-line New Event Detection and Tracking.
James Allan and Ron Papka and Victor Lavrenko.
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. Melbourne, Australia. 1998. 37--45.

Event Tracking.
James Allan and Victor Lavrenko and Ron Papka.
Department of Computer Science, University of Massachusetts. IR -- 128. 1998.

Topic-based Novelty Detection.
James Allan and Hubert Jin and Martin Rajman and Charles Wayne and Daniel Gildea and Victor Lavrenko and Rose Hoberman and David Caputo.
Center for Language and Speech Processing, Johns Hopkins University. 1999.
http://www.clsp.jhu.edu/ws99/

First Story Detection in TDT is Hard.
James Allan and Victor Lavrenko and Hubert Jin.
Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management. McClean, VA. 2000. 374--381.

Detections, Bounds, and Timelines: UMass and TDT--3.
James Allan and Victor Lavrenko and Daniella Malin and Russell Swan.
Proceedings of Topic Detection and Tracking (TDT--3). 2000. 167--174.

Topic Models for Summarizing Novelty.
James Allan and Rahul Gupta and Vikas Khandelal.
Proceedings of Workshop on Language Modeling in Information Retrieval. 2001. 66--71.

Temporal Summaries of News Topics.
James Allan and Rahul Gupta and Vikas Khandelal.
Proceedings of the 24rd annual international ACM SIGIR conference on Research and development in information retrieval. 2001. 10--18.

Detection as Multi-Topic Tracking.
James Allan.
Information Retrieval. 5 (2--3). 2002. 139--157.

Topic Detection and Tracking: Event-based Information Organization.
James Allan.
Kluwer Academic Publishers. Norvell, Massachusetts. 2002.

Introduction to Topic Detection and Tracking.
Topic Detection and Tracking -- Event-based Information Organization.

James Allan.
Kluwer Academic Publisher. 2002. 1--16.

Explorations Within Topic Tracking and Detection.
Topic Detection and Tracking -- Event-based Information Organization.
James Allan and Victor Lavrenko and Russell Swan.
Kluwer Academic Publisher. 2002. 197--224.

Retrieval and novelty detection at the sentence level.
James Allan and Courtney Wade and Alvaro Bolivar.
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. 2003. 314--321.

A Hierarchical Probabilistic Model for Novelty Detection in Text.
L. Douglas Baker and Thomas Hofmann and Andrew McCallum and Yiming Yang.
unpublished manuscript.

A System for new event detection.
Thorsten Brants and Francine Chen.
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval. 2003. 330--337.

The Design of a Topic Tracking System.
Joe Carthy and Alan Smeaton.
Proceedings of 22nd Annual Colloquim on Information Retrieval Reseach. 2000.

Lexical Chains for Topic Tracking.
Joseph Carthy.
Department of Computer Science, National University of Dublin. 2002.

A NLP & IR Approach to Topic Detection. Topic Detection and Tracking -- Event-based Information Organization.
Hsin-Hsi Chen and Lun-Wei Ku.
James Allan. Kluwer Academic Publisher. 2002. 243--264.

Multiple Annotations of Reusable Data Resources: Corpora for Topic Detection and Tracking.
Christopher Cieri.
Actes 5i`eme Journ'ees Internationales d'Analyse Statistique des Donn'ees Textuelles (JADT). 2000.

Corpora for Topic Detection and Tracking.
Topic Detection and Tracking -- Event-based Information Organization.
Christopher Cieri and Stephanie Strassel and David Graff and Nii Martey and Kara Rennert and Mark Liberman.
James Allan. Kluwer Academic Publisher. 2002. 33--66.

Segmentation and Detection at IBM.
Topic Detection and Tracking -- Event-based Information Organization.
S. Dharanipragada and M. Franz and J. S. McCarley and T. Ward and W.-J. Zhu.
James Allan. Kluwer Academic Publisher. 2002. 135--148.

A Cluster-based Approach to Broadcast News.
Topic Detection and Tracking -- Event-based Information Organization.
David Eichmann and Padmini Srinivasan.
James Allan. Kluwer Academic Publisher. 2002. 149--174.

Topic Detection and Tracking Evaluation Overview.
Topic Detection and Tracking -- Event-based Information Organization.
Jonathan Fiscus and George Doddington.
James Allan. Kluwer Academic Publisher. 2002. 17--31.

Unsupervised and supervised clustering for topic tracking.
Martin Franz and Todd Ward and J. Scott McCarley and Wei-Jing Zhu.
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval. 2001. 310--317.
http://doi.acm.org/10.1145/383952.384013

Event tracking based on domain dependency.
Fumiyo Fukumoto and Yoshimi Suzuki.
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. 2000. 57--64.


The Analysis of Political Events using Machine Coded Data.
Deborah J. Gerner and Philip A. Schrodt and Ronald Francisco and Julie L. Weddle.
International Studies Quarterly. 38. 1994. 91--119.

Transcribing Multilingual Broadcast News Using Hypothesis Driven Lexical Adaptation.
Petra Geutner and Micheal Finke and Peter Scheytt and Alex Waibel and Howard Wactlar.
Proceedings of DARPA Broadcast News Workshop. 1998.

Topic Detection, a New Application for Lexical Chaining?
Paula Hatch and Nicola Stokes and Joe Carthy.
Proceedings of BCS- IRSG 2000, the 22nd Annual Colloquim on Information Retrieval Research. 2000. 94--103.

An investigation of linguistic features and clustering algorithms for topical document clustering.
Vasileios Hatzivassiloglou and Luis Gravano and Ankineedu Maganti.
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. 2000. 224--231.

Bursty and hierarchical structure in streams.
Jon Kleinberg.
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining. 2002. 91--101.
http://doi.acm.org/10.1145/775047.775061

Relevance Models for Topic Detection and Tracking.
Victor Lavrenko and James Allan and Edward DeGuzman and Daniel LaFlamme and Veera Pollard and Stephen Thomas.
Proceedings of Human Language Technology Conference (HLT). 2002. 104--110.

Probabilistic Approaches to Topic Detection and Tracking.
Topic Detection and Tracking -- Event-based Information Organization.
Tim Leek and Richard Schwartz and Srinivasa Sista.
James Allan. Kluwer Academic Publisher. 2002. 67--84.

Signal Boosting for Translingual Topic Tracking.
Topic Detection and Tracking -- Event-based Information Organization.
Gina-Anne Levow and Douglas W. Ward.
James Allan. Kluwer Academic Publisher. 2002. 175--196.

Filtering: Improving Realism of Topic Tracking Evaluation.
Anton Leuski and James Allan.
Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval. 2002. 89--96.

A critical examination of TDT's cost function.
R. Manmatha and Ao Feng and James Allan.
Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval. 2002. 403--404.

The DET Curve in Assessment of Detection Task Performance.
Alvin Martin and George Doddington and Terri Kamm and Mark Ordowski and Mark Przybocki.
Proceedings of EuroSpeech'97, the 5th European Conference on Speech Communication and Technology. 1997. 1895--1898.

Influence of speech recognition errors on topic detection. J. Scott McCarley and Martin Franz.
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. 2000. 342--344.
http://doi.acm.org/10.1145/345508.345638

Capturing term dependencies using a language model based on sentence trees. Ramesh Nallapati and James Allan.
Proceedings of the eleventh international conference on Information and knowledge management. 2002. 383--390.
http://doi.acm.org/10.1145/584792.584855

Text Segmentation and Topic Tracking on Broadcast News Via a Hidden Markov Model Approach.
Paul van Mulbregt and Ira Carp and Lawrence Gillick and Stewe Lowe and Jon Yamron.
Proceedings of 5th Intl. Conference on Spoken Language Processing (ICSLP-98). 1998.

Topic Tracking for Radio, TV Broadcast, and Newswire.
Hubert Jin and Rich Schwartz and Sreenivasa Sista and Frederick Walls.
Proceedings of DARPA Broadcast News Workshop. 1999.

Applying Semantic Classes in Event Detection and Tracking.
Juha Makkonen and Helena Ahonen-Myka and Marko Salmenkivi.
Proceedings of International Conference on Natural Language Processing (ICON 2002). Mumbai, India. 2002. 175--183.

Topic Detection and Tracking with Spatio-temporal Evidence.
Juha Makkonen and Helena Ahonen-Myka and Marko Salmenkivi.
Proceedings of 25th European Conference on Information Retrieval Research (ECIR 2003). Pisa, Italy. 2003. 251--265.

Investigations on Event Evolution in TDT.
Juha Makkonen.
Proceedings of Student Workshop of Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL). Edmonton, Canada. 2003. 43--48.

Utilizing Temporal Information in Topic Detection and Tracking.
Juha Makkonen and Helena Ahonen-Myka.
Proceedings of 7th European Conference on Digital Libraries (ECDL 2003). Trondheim, Norway. 2003. 393--404.

Simple Semantics in Topic Detection and Tracking.
Juha Makkonen and Helena Ahonen-Myka and Marko Salmenkivi.
Information Retrieval. 7 (3--4). 2004. 347--368.

On-line New Event Detection, Clustering and Tracking.
Ron Papka.
Department of Computer Science, University of Massachusetts. 1999.

On-line New Event Detection using Single-pass Clustering.
Ron Papka and James Allan.
Department of Computer Science, University of Massachusetts. IR--123. 1998.

Temporal-Semantic Clustering of Newspaper Articles for Event Detection. A. Pons and R. Berlanga and J. Rumz-Shulcloper.
Proceedings of Pattern Recognition in Information Systems (PRIS2002). 2002. 104--113.

Large-scale Topic Detection and Language Model Adaptation.
Kristie Seymore and Ronald Rosenfeld.
School of Computer Science, Carnegie Mellon University. 1997.

Towards a Universal Dictionary for Multi-language IR Applications.
Topic Detection and Tracking -- Event-based Information Organization.
J. Michael Schultz and Mark Y. Liberman.
James Allan. Kluwer Academic Publisher. 2002. 225--242.

Combining semantic and syntactic document classifiers to improve first story detection.
Nicola Stokes and Joe Carthy.
Proceedings of the 24rd annual international ACM SIGIR conference on Research and development in information retrieval. 2001. 424--425.

Segmenting Broadcast News Streams using Lexical Chains.
Nicola Stokes and Joe Carthy and Alan F. Smeaton.
Proceedings of STarting AI Researchers Symposium, (STAIRS 2002). Lyon, France. 2002. 145--154.

Lexical semantic relatedness and online new event detection.
Nicola Stokes and Paula Hatch and Joe Carthy.
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. 2000. 324--325.

Extracting significant time varying features from text.
Russell Swan and James Allan.
Proceedings of the eighth international conference on Information and Knowledge management (CIKM-99). 1999. 38--45.

Statistical Models of Topical Content.
Topic Detection and Tracking -- Event-based Information Organization.
J. P. Yamron and L. Gillick and P. van Mulbregt and S. Knecht.
James Allan. Kluwer Academic Publisher. 2002. 115--134.

Improving text categorization methods for event tracking.
Yiming Yang and Tom Ault and Thomas Pierce and Charles W. Lattimer.
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval. 2000. 65--72.

Learning Approaches for Detecting and Tracking News Events.
Yiming Yang and Jaime Carbonell and Ralf Brown and Thomas Pierce and Brian T. Archibald and Xin Liu.
IEEE Intelligent Systems Special Issue on Applications of Intelligent Information Retrieval. 14 (4). 1999. 32--43.

A Study on Retrospective and On-Line Event Detection.
Yiming Yang and Thomas Pierce and Jaime Carbonell.
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. 1998. 28--36.

Multi-strategy learning for TDT.
Topic Detection and Tracking -- Event-based Information Organization.
Yiming Yang and Jaime Carbonell and Ralf Brown and John Lafferty and Thomas Pierce and Thomas Ault.
James Allan. Kluwer Academic Publisher. 2002. 85--114.

Topic-conditioned novelty detection.
Yiming Yang and Jian Zhang and Jaime Carbonell and Chun Jin.
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining. 2002. 688--693.

Novelty and redundancy detection in adaptive filtering.
Yi Zhang and Jamie Callan and Thomas Minka.
Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval. 2002. 81--88.
http://doi.acm.org/10.1145/564376.564393



Topic Detection and Tracking (TDT) refers to automatic techniques for discovering, threading, and retrieving topically related material in streams of data.


TD; TT; TDT

Topic Tracking; Topic Detection and Tracking