We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
We are interested in developing tools to support the activities of lawyers in corporate litigation. In current applications, information such as characters that have played a signi...
We describe the lexical knowledge base system (LKB) which has been designed and implemented as part of the ACQUILEX project1 to allow the representation of multilinguM syntactic a...
This paper deals with the main problems that arise in the query translation process in dictionary-based Cross-lingual Information Retrieval (CLIR): translation selection, presence...
We propose an unsupervised method for detecting spam documents from Web page data, based on equivalence relations on strings. We propose 3 measures for quantifying the alienness (...