In this paper, we introduce several vector space manipulation methods that are applied to trained vector space models in a post-hoc fashion, and present an application of these techniques in semantic role labeling for Finnish and English. Specifically, we show that the vectors can be circularly shifted to encode syntactic information and subsequently averaged to produce representations of predi...

This abstract describes work in progress on semantic role labeling of gene regulation events. We present preliminary results of a supervised semantic role labeler that has been trained and tested on the GREC corpus.

This paper describes a simplified and corrected specification of role-based access control (RBAC) based on the specification in the ANSI standard for RBAC. The simplifications and corrections were made while following a systematic method for deriving efficient implementations from straightforward implementations of clear specifications. The method allows specifications to be written clearly wit...

A temporarily-spatially constrained model based on TRBAC (Task-Role Based Access Control) is proposed in workflow system. Temporary and spatial Constraint is that user is not only constrained by temporality, but also constrained by spatiality when user executes the task. The model suggests that a property of security level should be increased in task. The newly increased property can make the w...

The secure interaction between two or more administrative domains is a major concern. We examine the issues of secure interoperability between two security domains operating under the Role Based Access Control (RBAC) Model. We propose a model that quickly establishes a exible policy for dynamic role translation. The role hierarchies of the local and foreign domains can be manipulated through ou...

This paper describes a corrected and simplified specification of role-based access control (RBAC) based on the specification in the ANSI standard for RBAC. We give a complete specification of core RBAC, explaining the methodology we used in developing it; we then give a complete specification of hierarchical RBAC, with an additional option for managing the relationship on roles; and we also des...

Shallow semantic analyzers, such as semantic role labeling and sense tagging, are increasing in accuracy and becoming commonplace. However, they only provide limited and local representations of local words and individual predicate-argument structures. This talk will address some of the current challenges in producing deeper, connected representations of eventualities. Available resources, such...

In this demonstration we showcase PIKES, a Semantic Role Labeling (SRL)-powered approach for Knowledge Extraction. PIKES implements a rule-based strategy that reinterprets SRL output in light of other linguistic analyses, such as dependency parsing and co-reference resolution, thus properly capturing and formalizing in RDF important linguistic aspects such as argument nominalization, frame-fram...

GENERALIZATION AND ENFORCEMENT OF ROLE-BASED ACCESS CONTROL USING A NOVEL EVENT-BASED APPROACH