The problem of the relevance and the usefulness of extracted association rules is becoming of primary importance, since an overwhelming number of association rules may be derived f...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
Deverbal nouns pose serious challenges for knowledgerepresentation systems. We present a method of canonicalizing deverbal noun representations, relying on a rich lexicon of verb ...
Olga Gurevich, Richard S. Crouch, Tracy H. King, V...
This paper presents an open-domain textual Question-Answering system that uses several feedback loops to enhance its performance. These feedback loops combine in a new way statist...
Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca,...
We describe an ontology for WWW summarization in Bone Marrow Transplantation that is currently under construction. It is text-based and qualifies as a grounded ontology. In additi...