The work that is most similar to ours is that of Chang et al. ( 2007 ) , who introduced the Constraint Driven Learning algorithm ( CODL ) .
guiding semisupervision with constraintdriven learning
M W Chang L Ratinov D Roth
Their goal is considerably different ; they want to incorporate additional features into their model and define an objective function which allows them to do so ; whereas , we are interested in allowing for multiple objective functions in order to adapt the parser model parameters to downstream tasks or alternative intrinsic ( parsing ) objectives . The work that is most similar to ours is that of Chang et al. ( 2007 ) , who introduced the Constraint Driven Learning algorithm ( CODL ) . Their algorithm specifically optimizes a loss function with
The work that is most similar to ours is that of @@CITATION , who introduced the Constraint Driven Learning algorithm ( CODL ) .