Ted S.

Multiway clustering for creating biomedical term sets (2009)

Vasileios K, Lyle Ungar, Ted S, Shane Jensen

We present an EM-based clustering method that can be used for constructing or augmenting ontologies such as MeSH. Our algorithm simultaneously clusters verbs and nouns using both verb-noun and...

Regularized Learning with Networks of Features (2009)

Ted S, Partha Pratim Talukdar, Lyle H. Ungar, John Blitzer

For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, we might know that...

BIOINFORMATICS ORIGINAL PAPER Data and text mining Automatic term list generation for entity tagging (2005)

Ted S, Andrew I. Schein, Lyle H. Ungar

Motivation: Many entity taggers and information extraction systems make use of lists of terms of entities such as people, places, genes or chemicals. These lists have traditionally been constructed...