In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Use Cases have achieved wide use as a specification tool for observable behavior of systems. However, there is still much controversy, inconsistent use, and free-flowing interpreta...
This paper presents a direct word reordering model with novel syntax-based features for statistical machine translation. Reordering models address the problem of reordering source...
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
In participating in this CLEF evaluation campaign, our first objective is to propose and evaluate various indexing and search strategies for the Russian language, in order to obta...