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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
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