In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. In this model, we treat documents as \disorders" an...
Script identification has always been a topic of much research interest in the field of document analysis. The accurate determination of the identity of the script is paramount to...
Abstract Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it ...
Classical retrieval models support content-oriented searching for documents using a set of words as data model. However, in hypertext and database applications we want to consider...
This paper proposes a word sense language model based method for information retrieval. This method, differing from most of traditional ones, combines word senses defined in a thes...