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 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...
We introduce EntityEngine, a system for answering entityrelationship queries over text. Such queries combine SQLlike structures with IR-style keyword constraints and therefore, ca...
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...