In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Abstract. With increasing volumes of data, much effort has been devoted to finding the most suitable answer to an information need. However, in many domains, the question whether a...
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
The combination of evidence for Information Retrieval has been studied extensively in order to increase effectiveness. In this paper, we study the selective application of differe...
Biomedical entity extraction from unstructured web documents is an important task that needs to be performed in order to discover knowledge in the veterinary medicine domain. In ge...
Svitlana Volkova, Doina Caragea, William H. Hsu, J...