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ISDA
2008
IEEE
13 years 11 months ago
Compute the Term Contributed Frequency
In this paper, we propose an algorithm and data structure for computing the term contributed frequency (tcf) for all N-grams in a text corpus. Although term frequency is one of th...
Cheng-Lung Sung, Hsu-Chun Yen, Wen-Lian Hsu
CIKM
2011
Springer
12 years 4 months ago
Adaptive term frequency normalization for BM25
A key component of BM25 contributing to its success is its sub-linear term frequency (TF) normalization formula. The scale and shape of this TF normalization component is controll...
Yuanhua Lv, ChengXiang Zhai
SIGIR
2005
ACM
13 years 10 months ago
A study of the dirichlet priors for term frequency normalisation
In Information Retrieval (IR), the Dirichlet Priors have been applied to the smoothing technique of the language modeling approach. In this paper, we apply the Dirichlet Priors to...
Ben He, Iadh Ounis
ACL
2010
13 years 2 months ago
Automatically Generating Term Frequency Induced Taxonomies
We propose a novel method to automatically acquire a term-frequency-based taxonomy from a corpus using an unsupervised method. A term-frequency-based taxonomy is useful for applic...
Karin Murthy, Tanveer A. Faruquie, L. Venkata Subr...
ECIR
2009
Springer
14 years 2 months ago
Correlation of Term Count and Document Frequency for Google N-Grams
For bounded datasets such as the TREC Web Track (WT10g) the computation of term frequency (TF) and inverse document frequency (IDF) is not difficult. However, when the corpus is th...
Martin Klein, Michael L. Nelson