Every time a user engaged in work reads or writes, the user spontaneously generates new information needs: to understand the text he or she is reading or to supply more substance ...
David A. Evans, Gregory Grefenstette, Yan Qu, Jame...
Background: In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing...
Enriching knowledge bases with multimedia information makes it possible to complement textual descriptions with visual and audio information. Such complementary information can he...
In this paper, we study the retrieval problem in ALN, which is a tractable concept language with number restrictions. Following the approach proposed in [12], this work differs fr...
We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...