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» Modeling score distributions in information retrieval
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CIKM
2009
Springer
15 years 4 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
SIGIR
2005
ACM
15 years 3 months ago
The maximum entropy method for analyzing retrieval measures
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs....
Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu
AIRS
2004
Springer
15 years 3 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
IS
2006
14 years 9 months ago
Negations and document length in logical retrieval
Abstract. Terms which are not explicitly mentioned in the text of a document receive often a minor role in current retrieval systems. In this work we connect the management of such...
David E. Losada, Alvaro Barreiro
WWW
2005
ACM
15 years 10 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng