As part of the Illinois Digital Library Initiative (DLI) project we developed “scalable semantics” technologies. These statistical techniques enabled us to index large collect...
Yi-Ming Chung, Qin He, Kevin Powell, Bruce R. Scha...
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...
This paper presents our ongoing study of the current/future impact of social bookmarks (or social tags) on information retrieval (IR). Our main research question asked in the pres...
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...