In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Abstract. In this paper we introduce BioPubMiner, a machine learning component-based platform for biomedical information analysis. BioPubMiner employs natural language processing t...
Medical histories provide a rich resource for diagnoses and treatment. Similarly, consumers’ blog postings on health-related topics offer unique data for medical researchers, pr...
The paper makes two main contributions: (1) It presents experiences from using the CORAS language for security threat modelling to specify legal risk scenarios. These experiences a...
Fredrik Vraalsen, Mass Soldal Lund, Tobias Mahler,...
This paper describes the development of a rule-based computational model that describes how a feature-based representation of shared visual information combines with linguistic cu...