This paper describes automatic techniques for mapping 9611 entries in a database of English verbs to WordNet senses. The verbs were initially grouped into 491 classes based on syn...
Rebecca Green, Lisa Pearl, Bonnie J. Dorr, Philip ...
Abstract. Because of emergence of Semantic Web, It make possible for machines to understand the meaning of resources on the Web. The widespread availability of machine understandab...
The widespread availability of machine understandable information on the Semantic Web offers some opportunities to improve traditional search. In this paper, we propose a hybrid w...
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
Information retrieval systems (IRSs) usually suffer from a low ability to recognize a same idea that is expressed in different forms. A way of improving these systems is to take ...
Fabienne Moreau, Vincent Claveau, Pascale Sé...