This paper describes an exploratory, qualitative study of a process for extracting, identifying and exploiting an enterprise's implicit (less visible) web communities using l...
One of the major challenges facing scientists dealing with gene expression data is how to integrate, explore and analyze vast quantities of related data, often residing in multiple...
The AMI Meeting Corpus contains 100 hours of meetings captured using many synchronized recording devices, and is designed to support work in speech and video processing, language ...
In this paper we present a method for semantic annotation of texts, which is based on a deep linguistic analysis (DLA) and Inductive Logic Programming (ILP). The combination of DLA...
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....