This paper describes our participation to the English Girt Task of CLEF 2005 Campaign. A method for conceptual indexing based on WordNet is used. Both documents and queries are map...
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
For spoken document retrieval, it is very important to consider Out-of-Vocabulary (OOV) and mis-recognition of spoken words. Therefore, sub-word unit based recognition and retriev...
This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information o...
In many domains there are specific attributes in documents that carry more weight than the general words in the document. This paper proposes the use of information extraction tec...