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First story detection in TDT is hard

Authors:

James Allan,

Victor Lavrenko,

Hubert JinAuthors Info & Claims

CIKM '00: Proceedings of the ninth international conference on Information and knowledge management

Pages 374 - 381

https://doi.org/10.1145/354756.354843

Published: 06 November 2000 Publication History

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References

[1]

Allan, J., Callan, J., Sanderson, M., Xu, J., and Wegmann, S. (1999a). Inquery and tree-7. In The Seventh Text Retrieval Conference (TREC- 7), pages 201-216. NIST Special publication 500-242.

Google Scholar

[2]

Allan, J., Carbonell, J., Doddington, G., Yamron, J., and Yang, Y. (1998a). Topic detection and tracking pilot study: Final report. In Proceedings of DARPA Broadcast News Transcription and Under standing Workshop, pages 194-218.

Google Scholar

[3]

Allan, J., Jin, H., Rajman, M., Wayne, C., Gildea, D., Lavrenko, V., Hoberman, R., and Caputo, D. (1999b). Topic-based novelty detection: 1999 summer workshop at clsp, final report. Available at http://www.clsp.jhu.edu/ws99/tdt.

Google Scholar

[4]

Allan, J., Lavrenko, V., and Jin, H. (2000). Comparing effectiveness in TDT and IR. Technical Report IR-197, CIIR, Department of Computer Science, University of Massachusetts, Amherst.

Crossref

Google Scholar

[5]

Allan, J., Papka, R., and Lavrenko, V. (1998b). On-line new event detection and tracking. In Proceedings of ACM SIGIR, pages 37-45.

Digital Library

Google Scholar

[6]

Cieri, C., Graft, D., Liberman, M., Martey, N., and Strassel, S. (1999). The TDT-2 text and speech corpus. In Proceedings of the DARPA Broadcast News Workshop, pages 57-60.

Google Scholar

[7]

DARPA (1997). Proceedings of the TDT workshop. University of Maryland, College Park, MD (unpublished).

Google Scholar

[8]

DARPA, editor (1999). Proceedings of the DARPA Broadcast news Workshop, Herndon, Virginia.

Google Scholar

[9]

Garey, M. R. and Johnson, D. S. (1979). Computer and Intractability: A Guide to the Theory of NP-Completeness. W.H. Freeman and Company, New York.

Digital Library

Google Scholar

[10]

Martin, A., Doddington, G., Kamm, T., Ordowski, M., and ybocki, M. (1997). The DET curve in assessment of detection task performance. In Proceedings of EuroSpeech'97, pages 1895-1898.

Google Scholar

[11]

NIST (1999). 1999 topic detection and tracking evaluation project (TDT3). http://www.nist.gov/speech/tdt3/tdt3.htm.

Google Scholar

[12]

Papka, R. (1999). On-line New Event Detection, Clustering, and Tracking. PhD thesis, Department of Computer Science, University of Massachussetts.

Digital Library

Google Scholar

[13]

Papka, R., Allan, J., and Lavrenko, V. (1999). UMass approaches to detection and tracking at TDT2. In Proceedings of the DARPA Broadcast News Workshop, pages 111-116.

Google Scholar

[14]

Salton, G. and McGill, M. J. (1983). Introduction to Modern Information Retrieval. McGraw-Hill.

Digital Library

Google Scholar

[15]

Swets, J. (1988). Measuring the accuracy of diagnostic systems. Science, 240:1285-1293.

Crossref

Google Scholar

[16]

van Rijsbergen, C. (1979). Information Retrieval. Butterworths, London.

Digital Library

Google Scholar

[17]

Voorhees, E. and Harman, D. (1999). Overview of the seventh text retrieval conference (TREC-7). In The Seventh Text Retrieval Conference (TREC- 7), pages 1-24. NIST Special publication 500-242.

Crossref

Google Scholar

[18]

Voorhees, E. and Harman, D. (2000). Overview of the eighth text retrieval conference (TREC-8). In The Eighth Text Retrieval Conference (TREC-8). NIST Special publication. Forthcoming.

Crossref

Google Scholar

[19]

Yang, Y., Pierce, T., and Carbonell, J. (1998). A study on retrospective and on-line event detection. In Proceedings of ACM SIGIR, pages 28-36.

Digital Library

Google Scholar

Cited By

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Mredula MDey NRahman MMahmud ICho Y(2022)A Review on the Trends in Event Detection by Analyzing Social Media Platforms’ DataSensors10.3390/s2212453122:12(4531)Online publication date: 15-Jun-2022
https://doi.org/10.3390/s22124531
Elbedwehy SThron CAlrahmawy MHamza T(2022)Real-Time Detection of First Stories in Twitter Using a FastText ModelArtificial Intelligence for Data Science in Theory and Practice10.1007/978-3-030-92245-0_9(179-218)Online publication date: 2022
https://doi.org/10.1007/978-3-030-92245-0_9
Qiu XZou QRichard Shi C(2021)Single-Pass On-Line Event Detection in Twitter StreamsProceedings of the 2021 13th International Conference on Machine Learning and Computing10.1145/3457682.3457762(522-529)Online publication date: 26-Feb-2021
https://dl.acm.org/doi/10.1145/3457682.3457762
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Index Terms

First story detection in TDT is hard
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

CIKM '00: Proceedings of the ninth international conference on Information and knowledge management

November 2000

532 pages

ISBN:1581133200

DOI:10.1145/354756

Chairmen:
Arvin Agah
Univ. of Kansas, Lawrence
,
Jamie Callan
Carnegie Mellon Univ., Pittsburgh, PA
,
Elke Rundensteiner
Worcester Polytechnic Institute, Worcester, MA
,
Susan Gauch
Univ. of Kansas, Lawrence

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 06 November 2000

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November 6 - 11, 2000

Virginia, McLean, USA

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Cited By

View all

Mredula MDey NRahman MMahmud ICho Y(2022)A Review on the Trends in Event Detection by Analyzing Social Media Platforms’ DataSensors10.3390/s2212453122:12(4531)Online publication date: 15-Jun-2022
https://doi.org/10.3390/s22124531
Elbedwehy SThron CAlrahmawy MHamza T(2022)Real-Time Detection of First Stories in Twitter Using a FastText ModelArtificial Intelligence for Data Science in Theory and Practice10.1007/978-3-030-92245-0_9(179-218)Online publication date: 2022
https://doi.org/10.1007/978-3-030-92245-0_9
Qiu XZou QRichard Shi C(2021)Single-Pass On-Line Event Detection in Twitter StreamsProceedings of the 2021 13th International Conference on Machine Learning and Computing10.1145/3457682.3457762(522-529)Online publication date: 26-Feb-2021
https://dl.acm.org/doi/10.1145/3457682.3457762
Panagiotou NAkkaya CTsioutsiouliklis KKalogeraki VGunopulos D(2021)A General Framework for First Story Detection Utilizing Entities and Their RelationsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2020.297005133:11(3482-3493)Online publication date: 1-Nov-2021
https://doi.org/10.1109/TKDE.2020.2970051
Zong CXia RZhang JZong CXia RZhang J(2021)Topic Detection and TrackingText Data Mining10.1007/978-981-16-0100-2_9(201-225)Online publication date: 21-Jan-2021
https://doi.org/10.1007/978-981-16-0100-2_9
Wurzer DQin YHuang JChang YCheng XKamps JMurdock VWen JLiu Y(2020)How UMass-FSD Inadvertently Leverages Temporal BiasProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3397271.3401306(2097-2100)Online publication date: 25-Jul-2020
https://dl.acm.org/doi/10.1145/3397271.3401306
Chen YDing ZZheng QQin YHuang RShah N(2020)A History and Theory of Textual Event Detection and RecognitionIEEE Access10.1109/ACCESS.2020.30349078(201371-201392)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3034907
Daou H(2020)Sentiment of the public: the role of social media in revealing important eventsOnline Information Review10.1108/OIR-12-2019-0373ahead-of-print:ahead-of-printOnline publication date: 27-Nov-2020
https://doi.org/10.1108/OIR-12-2019-0373
Ghosal TEdithal VEkbal ABhattacharyya PChivukula STsatsaronis G(2020)Is your document novel? Let attention guide you. An attention-based model for document-level novelty detectionNatural Language Engineering10.1017/S1351324920000194(1-28)Online publication date: 24-Apr-2020
https://doi.org/10.1017/S1351324920000194
Vanetik NLitvak MLevi E(2020)Real-World Events Discovering with TWISTNatural Language Processing for Electronic Design Automation10.1007/978-3-030-52273-5_4(71-107)Online publication date: 1-Sep-2020
https://doi.org/10.1007/978-3-030-52273-5_4
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