This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Abstract. This paper describes recent approaches using text-mining to automatically profile and extract arguments from legal cases. We outline some of the background context and mo...
Adam Wyner, Raquel Mochales Palau, Marie-Francine ...
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
Abstract. Automatic Document summarization is proving to be an increasingly important task to overcome the information overload. The primary task of document summarization process ...