Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
Abstract—We are interested in the problem of multiagent systems development for risk detecting and emergency response in an uncertain and partially perceived environment. The eva...
This paper describes an approach to interoperability in design projects that is based on computational agents customizing the representation of product data to individual design to...