In this paper, we present EgoIR, an approach for retrieving legal information based on ontologies; this approach has been developed with Legal Ontologies to be deployed within the...
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...
In this paper, we introduce a multilingual access and retrieval system with enhanced query translation and multilingual document retrieval, by mining bilingual terminologies and a...
Existing retrieval models generally do not offer any guarantee for optimal retrieval performance. Indeed, it is even difficult, if not impossible, to predict a model’s empirica...
This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...