We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
This paper introduces a new architecture that aims at combining molecular biology data with information automatically extracted from scientific literature (using text mining techn...
This position paper presents an algorithm, which determines similarities between text documents. These text documents are indexed with keywords and further background knowledge-ter...
The functionality of systems that extract information from texts can be specified quite simply: the input is a stream of texts and the output is some representation of the informa...
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...