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» A Language Modeling Approach to Information Retrieval
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KDD
2004
ACM
127views Data Mining» more  KDD 2004»
16 years 3 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
SIGIR
2003
ACM
15 years 8 months ago
Single n-gram stemming
Stemming can improve retrieval accuracy, but stemmers are language-specific. Character n-gram tokenization achieves many of the benefits of stemming in a language independent way,...
James Mayfield, Paul McNamee
HICSS
2002
IEEE
105views Biometrics» more  HICSS 2002»
15 years 8 months ago
Obtaining Language Models of Web Collections Using Query-Based Sampling Techniques
In the context of information retrieval, traditional collection selection algorithms have been widely studied. These algorithms utilize language models, a representation of the co...
Gary A. Monroe, James C. French, Allison L. Powell
KES
2005
Springer
15 years 8 months ago
An OCR Post-processing Approach Based on Multi-knowledge
This paper proposes an OCR post-processing approach based on multi-knowledge, which integrates language knowledge and candidate distance information given by the OCR engine. In thi...
Li Zhuang, Xiaoyan Zhu
ECIR
2007
Springer
15 years 4 months ago
Multinomial Randomness Models for Retrieval with Document Fields
Document fields, such as the title or the headings of a document, offer a way to consider the structure of documents for retrieval. Most of the proposed approaches in the literatu...
Vassilis Plachouras, Iadh Ounis