Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
Automatic generation of custom instruction processors from high-level application descriptions enables fast design space exploration, while offering very favorable performance and...
Kubilay Atasu, Oskar Mencer, Wayne Luk, Can C. &Ou...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Every piece of textual data is generated as a method to convey its authors' opinion regarding specific topics. Authors deliberately organize their writings and create links, ...
Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Gi...
In the recent years, the Web has been rapidly “deepened” with the prevalence of databases online. On this deep Web, many sources are structured by providing structured query i...