In this paper, we present a learning framework for the semantic annotation of text documents that can be used as textual cases in case-based reasoning applications. The annotation...
We present a novel, data-driven method for integrated shallow and deep parsing. Mediated by an XML-based multi-layer annotation architecture, we interleave a robust, but accurate ...
Anette Frank, Markus Becker, Berthold Crysmann, Be...
We present a new active active recognition scheme (using an uncalibrated camera) based on a new idea, appearancebased aspect graphs. The scheme is robust to background clutter, an...
Our participation in TREC 2004 aims to extend and improve the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) for the robust track. We experiment with...
In this paper, we propose keyword extraction method for dictation of radio news which consists of several domains. In our method, newspaper articles which are automatically classi...