Implicit semantic role labeling, the task of retrieving locally unrealized arguments from wider discourse context, is a knowledgeintensive task. At the same time, the annotated corpora that exist are all small and scattered across different annotation frameworks, genres, and classes of predicates. Previous work has treated these corpora as incompatible with one another, and has concentrated on ...

In this article we consider the estimation of two seemingly unrelated Tobit regressions in which the dependent variables are truncated normal. The model is useful, since it can be viewed as the reduced form of a simultaneous-equations Tobit model. The proposed estimation method and algorithm are interesting in themselves for the following reasons. In the estimation of a simultaneous equations m...

Contrary to the fairly established notion in the learning and cognitive sciences that un-scaffolded processes rarely lead to meaningful learning, this study reports a hidden efficacy of such processes and a method for extracting it. Compared to scaffolded, well-structured problem-solving groups, unscaffolded, ill-structured problem-solving groups struggled with defining and solving the problems...

Seemingly unrelated regression (SUR) models are useful in studying the interactions among different variables. In a high dimensional setting or when applied to large panel of time series, these models require a large number of parameters to be estimated and suffer of inferential problems. To avoid overparametrization and overfitting issues, we propose a hierarchical Dirichlet process prior for ...

abstract present study used translog cost function for determining break point of paddy farms. requested data set include inputs’ prices and quantities, and production amounts had been acquired from 500 rice farmers of guilan province at 2009. model used in this study is seemingly unrelated regressions (sur). the results showed that labor and pesticides had the highest and lowest share of produ...