We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Abstract. The identification of reliable and interesting items on Internet becomes more and more difficult and time consuming. This paper is a position paper describing our intend...
We will report on one of the two tasks in the IREX (Information Retrieval and Extraction Exercise) project, an evaluation-based project for Information Retrieval and Information E...
We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test ...
Edgar Meij, Wouter Weerkamp, Krisztian Balog, Maar...
We combine techniques of XML Mining and Text Mining for the benefit of Information Retrieval. By manipulating the word sequence according to the XML structure of the marked-up tex...