We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
Abstract. In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence ex...
This paper describes our participation in GeoCLEF. Being different from the traditional information retrieval, we focus more on the query expansion instead of document ranking. We ...
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Abstract. Many realistic user tasks involve the retrieval of specific entities instead of just any type of documents. Examples of information needs include ‘Countries where one ...
Arjen P. de Vries, Anne-Marie Vercoustre, James A....