Article

Profile-based event tracking

Authors:

Baoli Li,

Wenjie Li,

Qin Lu,

Mingli WuAuthors Info & Claims

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 631 - 632

https://doi.org/10.1145/1076034.1076163

Published: 15 August 2005 Publication History

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Abstract

In this research, we focus on tracking topics that originate and evolve from a specific event. Intuitively, a few key elements of a target event, such as date, location, and persons involved, would be enough for making a decision on whether a test story is on-topic. Consequently, a profile-based event tracking method is proposed. We attempt to build an event profile from the given on-topic stories by robust information retrieval technologies. A feature selection metric and a recognized event clause are utilized to determine most (if not all) key semantic elements of the target event. Preliminary experiments on the TDT2 mandarin corpus show that this profile-based event tracking method is promising.

References

[1]

James Allan (ed.). Topic Detection and Tracking: Event-based Information Organization. Kluwer Academic Publishers, Boston, MA, 2002.

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[2]

James Allan et. al. Flexible Intrinsic Evaluation of Hierarchical Clustering for TDT. In Proceedings of CIKM-03. New Orleans, LA, USA, 2003, 263--270.

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[3]

NIST. The 2004 Topic Detection and Tracking (TDT2004) Task Definition and Evaluation Plan. Available at http://www.nist.gov/speech/tests/tdt/tdt2004/evalplan.htm.

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Cited By

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Mamo NAzzopardi JLayfield C(2024)Watch and learn: event-domain term extraction from social networksJournal of Big Data10.1186/s40537-024-01040-211:1Online publication date: 26-Dec-2024
https://doi.org/10.1186/s40537-024-01040-2
Mamo NAzzopardi JLayfield C(2021)An Automatic Participant Detection Framework for Event Tracking on TwitterAlgorithms10.3390/a1403009214:3(92)Online publication date: 18-Mar-2021
https://doi.org/10.3390/a14030092
Liu R(2018)Automatic quality measurement for health information on the internetInternational Journal of Intelligent Information and Database Systems10.1504/IJIIDS.2014.0683408:4(340-358)Online publication date: 14-Dec-2018
https://dl.acm.org/doi/10.1504/IJIIDS.2014.068340
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Index Terms

Profile-based event tracking
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

August 2005

708 pages

ISBN:1595930345

DOI:10.1145/1076034

General Chairs:
Ricardo Baeza-Yates
University of Chile, Chile
,
Nivio Ziviani
Federal University of Minas Gerais, Brazil
,
Program Chairs:
Gary Marchionini
University of North Carolina, USA
,
Alistair Moffat
University of Melbourne, Australia
,
John Tait
University of Sunderland, UK

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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Association for Computing Machinery

New York, NY, United States

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Published: 15 August 2005

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SIGIR05

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SIGIR

SIGIR05: The 28th ACM/SIGIR International Symposium on Information Retrieval 2005

August 15 - 19, 2005

Salvador, Brazil

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Mamo NAzzopardi JLayfield C(2024)Watch and learn: event-domain term extraction from social networksJournal of Big Data10.1186/s40537-024-01040-211:1Online publication date: 26-Dec-2024
https://doi.org/10.1186/s40537-024-01040-2
Mamo NAzzopardi JLayfield C(2021)An Automatic Participant Detection Framework for Event Tracking on TwitterAlgorithms10.3390/a1403009214:3(92)Online publication date: 18-Mar-2021
https://doi.org/10.3390/a14030092
Liu R(2018)Automatic quality measurement for health information on the internetInternational Journal of Intelligent Information and Database Systems10.1504/IJIIDS.2014.0683408:4(340-358)Online publication date: 14-Dec-2018
https://dl.acm.org/doi/10.1504/IJIIDS.2014.068340
Liu R(2013)A passage extractor for classification of disease aspect informationJournal of the American Society for Information Science and Technology10.1002/asi.2292664:11(2265-2277)Online publication date: 27-Aug-2013
https://doi.org/10.1002/asi.22926
Kolya AEkbal ABandyopadhyay S(2009)A simple approach for Monolingual Event Tracking system in Bengali2009 Eighth International Symposium on Natural Language Processing10.1109/SNLP.2009.5340908(48-53)Online publication date: Oct-2009
https://doi.org/10.1109/SNLP.2009.5340908
Zheng WZhang YHong YFan JLiu T(2008)Topic tracking based on keywords dependency profileProceedings of the 4th Asia information retrieval conference on Information retrieval technology10.5555/1786374.1786392(129-140)Online publication date: 15-Jan-2008
https://dl.acm.org/doi/10.5555/1786374.1786392
Zheng WZhang YHong YFan JLiu T(2008)Topic Tracking Based on Keywords Dependency ProfileInformation Retrieval Technology10.1007/978-3-540-68636-1_13(129-140)Online publication date: 2008
https://doi.org/10.1007/978-3-540-68636-1_13
Kawtrakul AYingsaeree CAndres F(2007)Semantic tracking in peer-to-peer topic maps managementProceedings of the 5th international conference on Databases in networked information systems10.5555/1779354.1779360(54-69)Online publication date: 17-Oct-2007
https://dl.acm.org/doi/10.5555/1779354.1779360
Kawtrakul AYingsaeree CAndres F(2007)Semantic Tracking in Peer-to-Peer Topic Maps ManagementDatabases in Networked Information Systems10.1007/978-3-540-75512-8_5(54-69)Online publication date: 17-Oct-2007
https://dl.acm.org/doi/10.1007/978-3-540-75512-8_5
Li BLi WLu Q(2006)Topic tracking with time granularity reasoningACM Transactions on Asian Language Information Processing (TALIP)10.1145/1236181.12361865:4(388-412)Online publication date: 1-Dec-2006
https://dl.acm.org/doi/10.1145/1236181.1236186
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Topic tracking based on keywords dependency profile

Topic tracking with time granularity reasoning

Use of place information for improved event tracking

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