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Torvik is an Assistant Professor in the Graduate School of Library and Infor-mation Science at the University of Illinois at Urbana-Champaign where he
 

Summary: Torvik is an Assistant Professor in the Graduate School of Library and Infor-
mation Science at the University of Illinois at Urbana-Champaign where he
teaches courses on text/data mining, informatics, information processing,
literature-based discovery, and bioinformatics. His current research ad-
dresses problems related to the practice of science and innovation, often
using large-scale bibliographic databases as a source for text/data-mining
models.
NICO coffee hour will follow for questions, networking and collaboration.
http://www.northwestern.edu/nico
NICO is pleased to present:
Vetle Torvik
October 12, 2011 | 12:00 to 01:00 P | Chambers Hall, Lower Level | 600 Foster Street
Refreshments served at 11:30 A
Probabilistic identification of biomedical author-inventors across PubMed and USPTO
Large-scale studies of named entities like people, organizations, genes, or
drugs can suffer from severe bias introduced by name ambiguity. The
assumption that a name uniquely identifies an entity is often made because
disambiguation is time-consuming and error-prone when done manually, and
simple computational approaches fail to capture the complexity of an identity
that can also change over time. In an effort to enable unambiguous studies of

  

Source: Amaral, Luis A.N. - Department of Chemical and Biological Engineering, Northwestern University

 

Collections: Physics; Biology and Medicine