In this paper we tackle the problem of document image retrieval by combining a similarity measure between documents and the probability that a given document belongs to a certain ...
Albert Gordo, Jaume Gibert, Ernest Valveny, Mar&cc...
In this paper we will describe the Berkeley approaches to the GeoCLEF tasks for CLEF 2006. This year we used two separate systems for different tasks. Although of the systems both...
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong ...
In the current state of the rapid growth of information resources and the huge number of requests submitted by users to existing information retrieval systems; recently, Question ...
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...