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Text Classification and Named Entities for New Event Detection (2004)  (Make Corrections)  
Giridhar Kumaran, James Allan



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Abstract: New Event Detection is a challenging task that still o#ers scope for great improvement after years of e#ort. In this paper we show how performance on New Event Detection (NED) can be improved by the use of text classification techniques as well as by using named entities in a new way. We explore modifications to the document representation in a vector space-based NED system. We also show that addressing named entities preferentially is useful only in certain situations. A combination of all the ... (Update)

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BibTeX entry:   (Update)

@misc{ kumaran-text,
  author = "Giridhar Kumaran and James Allan",
  title = "Text Classification and Named Entities for New Event Detection",
  url = "citeseer.ist.psu.edu/kumaran04text.html" }
Citations (may not include all citations):
215   The INQUERY retrieval system - Callan, Croft et al. - 1992
76   Boostexter: A boosting-based system for text categorization - Schapire, Singer - 2000
76   An algorithm that learns what's in a name - Bikel, Schwartz et al. - 1999
70   Viewing morphology as an inference process - Krovetz - 1998
11   First story detection in tdt is hard - Allan, Lavrenko et al. - 2000
8   Topic-conditioned novelty detection - Yang, Zhang et al.
6   line new event detection using single pass clustering TITLE - Papka, Allan - 1998
4   A system for new event detection (context) - Brants, Chen et al.
2   First story detection using a composite document representat.. (context) - Stokes, Carthy - 2001
1   Summer workshop final report (context) - Allan, Jin et al. - 1999
1   Event-based Information Organization (context) - Detection - 2002
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