DRASO: Declaratively Regularized Alternating Structural Optimization (2009)
Partha Pratim Talukdar, Ted Sandler, Mark Dredze, Koby Crammer, John Blitzer, Fernando Pereira
Recent work has shown that Alternating Structural Optimization (ASO) can improve supervised learners by learning feature representations from unlabeled data. However, there is no natural way to...
A predictive model for identifying mini-regulatory modules in the mouse genome (2009)
Yaragatti, Mahesh, Sandler, Ted, Ungar, Lyle
Motivation: Rapidly advancing genome technology has allowed access to a large number of diverse genomes and annotation data. We have defined a systems model that integrates assembly data, comparative...
Automatic term list generation for entity tagging (2006)
Sandler, Ted, Schein, Andrew I., Ungar, Lyle H.
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...
Automatic term list generation for entity tagging (2005)
Ted Sandler, Andrew I. Schein, Lyle H. Ungar
Entity tagging is perhaps the most basic tasks in information extraction. Consequently, if any sophisticated information extraction is to be done, this task must be done well. Currently, state of the...
Automatic term list generation for entity tagging (2005)
Sandler, Ted, Schein, Andrew I., Ungar, Lyle H.
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...