Annotation of data is a time-consuming process, but necessary for many state-of-the-art solutions to NLP tasks, including semantic role labeling (SRL). In this paper, we show that language models may be used to select sentences that are more useful to annotate. We simulate a situation where only a portion of the available data can be annotated, and compare language model based selection against...

Most existing systems for Chinese Semantic Role Labeling (SRL) make use of full syntactic parses. In this paper, we evaluate SRL methods that take partial parses as inputs. We first extend the study on Chinese shallow parsing presented in (Chen et al., 2006) by raising a set of additional features. On the basis of our shallow parser, we implement SRL systems which cast SRL as the classification...

Lattice results are available for ∆S = 2 matrix elements for the first time in full QCD, which improve considerably the status of hadronic uncertainties in K-K̄ mixing with respect to earlier phenomenological studies. Using an average of the ETMC and RBC-UKQCD results, we analyze ǫK in Natural SUSY. This scenario arises as a consistent BSM framework after the latest results from the LHC. The ana...

Business rules should first be specified at the conceptual level, using concepts and languages easily understood by the business domain experts who are best qualified to validate the rules. This paper focuses on the verbalization of static business rules (i.e. constraints and derivation rules that apply to individual states of the business), ignoring dynamic rules relating to state transitions ...

The combination of transitive and inverse roles is important in a range of applications, and is crucial for the adequate representation of aggregated objects, allowing the simultaneous description of parts by means of the whole to which they belong and of wholes by means of their constituent parts. In this paper we present tableaux algorithms for deciding concept satisfiability and subsumption ...

This article introduces a family of reference models for rolebased access control (RBAC) in which permissions are associated with roles, and users are made members of appropriate roles. This greatly simpli es management of permissions. Roles are closely related to the concept of user groups in access control. However, a role brings together a set of users on one side and a set of permissions on...

In this article we briefly present the idea of defining a kernel for object role modelling techniques, upon which different drawing styles can be based. We propose such a kernel (the ORM kernel) and define, as a case study, an ER and a NIAM drawing style on top of it. One of the prominent advantages of such a kernel is the possibility to build a CASE-tool supporting multiple methods. Such a CAS...

SCALABLE ROLE & ORGANIZATION BASED ACCESS CONTROL AND ITS ADMINISTRATION Zhixiong Zhang, Ph.D. George Mason University, 2008 Dissertation Co-director: Dr. Ravi S. Sandhu Dissertation Co-director: Dr. Daniel Menascé In Role Based Access Control (RBAC), roles are typically created based on job functions inside an organization. Traditional RBAC does not scale up well for modeling security policies...

Data modelling frameworks consist of a series of constructs which are used to create an abstraction of the world. Ontologies consist of concepts through which reality can be described. The aim of this paper is to use an ontology as a basis for comparing and evaluating data modelling frameworks. We begin by establishing a method for comparing modelling frameworks using ontology, and then examine...

The significance of XML technology for sharing data over the Internet is being rapidly recognised. In this paper, we examine the security problems related to XML data and present our approach, the XML Security model, for enforcing security policies in XML based Information systems. Our methodology has been based on the study of the XML data model, on the identification of the security requireme...