In this paper, we present a fast and scalable Bayesian model for improving weakly annotated data – which is typically generated by a (semi) automated information extraction (IE) ...
We present a FrameNet-based semantic role labeling system for Swedish text. As training data for the system, we used an annotated corpus that we produced by transferring FrameNet ...
Background: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These method...
Arunachalam Vinayagam, Coral del Val, Falk Schuber...
Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
The ImageCLEF 2010 Photo Annotation Task poses the challenge of automated annotation of 93 visual concepts in Flickr photos. The participants were provided with a training set of 8...