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Improving Text Categorization Methods for Event Tracking (2000)  (Make Corrections)  (16 citations)
Yiming Yang, Tom Ault, Thomas Pierce, Charles W. Lattimer
Proceedings of SIGIR-00, 23rd ACM International Conference on Research and Development in Information Retrieval



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Abstract: Automated tracking of events from chronologically ordered document streams is a new challenge for statistical text classification. Existing learning techniques must be adapted or improved in order to effectively handle difficult situations where the number of positive training instances per event is extremely small, the majority of training documents are unlabelled, and most of the events have a short duration in time. We adapted several supervised text categorization methods, specifically... (Update)

Cited by:   More
Data Association for Topic Intensity Tracking - Krause, Leskovec, Guestrin (2006)   (Correct)
Applying CLIR Techniques to Event Tracking - Nianli Ma Yiming   (Correct)
Semantic Structure Transition with Elapsed Time - Katsuaki Tanaka Komaba (2005)   (Correct)

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10:   Topic detection and tracking pilot study: Final report - Allan, Carbonell et al. - 1998
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BibTeX entry:   (Update)

Yang, Y., Ault, T., & Pierce, T. (2000). Improving text categorization methods for event tracking. The 23th Ann Int ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'00) (p. (accepted) ). http://citeseer.ist.psu.edu/yang00improving.html   More

@inproceedings{ yang00improving,
    author = "Yiming Yang and Thomas Ault and Thomas Pierce and Charles W. Lattimer",
    title = "Improving text categorization methods for event tracking",
    booktitle = "Proceedings of {SIGIR}-00, 23rd {ACM} International Conference on Research and Development in Information Retrieval",
    publisher = "ACM Press, New York, US",
    address = "Athens, GR",
    editor = "Nicholas J. Belkin and Peter Ingwersen and Mun-Kew Leong",
    pages = "65--72",
    year = "2000",
    url = "citeseer.ist.psu.edu/yang00improving.html" }
Citations (may not include all citations):
288   Relevance feedback in information retrieval (context) - Rocchio-Jr - 1971
271   Improving retrieval performance by relevance feedback (context) - Salton, Buckley - 1990  ACM   DBLP
166   A re-examination of text categorization methods - Yang, Liu - 1999  ACM   DBLP
149   An evaluation of statistical approaches to text categorizati.. - Yang - 1999  ACM   DBLP
116   Topic detection and tracking pilot study: Final report - Allan, Carbonell et al. - 1998
110   Contextsensitive learning methods for text categorization - Cohen, Singer - 1996
110   Training algorithms for linear text classifiers - Lewis, Schapire et al. - 1996  ACM   DBLP
90   The det curve in assessment of detection task performance - Martin, Doddington et al. - 1997
79   A post-processing system to yield reduced word error rates: .. - Fiscus - 1997
76   Combination of multiple searches - Shaw, Fox - 1994  DBLP
55   Expert network: Effective and efficient learning from human .. (context) - Yang - 1994  DBLP
54   Boosting and rocchio applied to text filtering - Schapire, Singer et al. - 1998  ACM   DBLP
43   Combining classifiers in text categorization - Larkey, Croft - 1998  ACM   DBLP
38   A study on retrospective and on-line event detection - Yang, Pierce et al. - 1998
37   line new event detection and tracking - Allan, Papka et al. - 1998
36   Combining multiple evidence from different properties of wei.. (context) - Lee - 1995  ACM   DBLP
29   Maximizing text-mining performance (context) - Weiss, Apte et al. - 1999  ACM
29   Learning approaches for detecting and tracking news events - Yang, Carbonell et al. - 1999  ACM
28   Using a generalized instance set for automatic text categori.. (context) - Lam, Ho - 1998  ACM   DBLP
13   Topic detection in broadcast news - Walls, Jin et al. - 1999
9   A maximum likelihood model for topic classification of broad.. (context) - Schwartz, Imai et al. - 1997
7   Topic detection and tracking using idf-weighted cosine coeff.. - Schultz, Liberman - 1999
5   Cmu report on tdt-2: Segmentation (context) - Carbonell, Yang et al. - 1999



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://www.cs.cmu.edu/~yiming/publications.html):   More
Topic Detection and Tracking Pilot Study - Allan, Carbonell, Doddington.. (1998)   (Correct)
Report on the CONALD Workshop on Learning from Text.. - Carbonell, Craven.. (1998)   (Correct)
Noise Reduction in a Statistical Approach to Text Categorization - Yang (1995)   (Correct)

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