Acknowledgements: We gratefully acknowledge the funding provided by the University of Waterloo's Centre for Information Systems Assurance. We are grateful to Scott Paquette and Gary Baker for help in administering the experiment. 2 ABSTRACT This study investigates the effectiveness of alternative methods for documenting business processes for the purpose of performing an assessment of risks and...

Textual representations play an important role in the field of natural language processing (NLP). The efficiency of NLP tasks, such as text comprehension and information extraction, can be significantly improved with proper textual representations. As neural networks are gradually applied to learn the representation of words and phrases, fairly efficient models of learning short text representa...

This paper describes the Bar-Ilan system participating in the Recognising Textual Entailment Challenge. The paper proposes first a general probabilistic setting that formalizes the notion of textual entailment. We then describe a concrete alignment-based model for lexical entailment, which utilizes web co-occurrence statistics in a bag of words representation. Finally, we report the results of ...

In textual modeling, models are created through an intermediate parsing step which maps textual representations to abstract model structures. Therefore, the identify of elements is not stable across different versions of the same model. Existing model differencing algorithms, therefore, cannot be applied directly because they need to identify model elements across versions. In this paper we pre...

New cloud computing ways open a new paradigm for music composition. Our music composing system is now distributed on the Web shaping what we call as Computer Music Cloud (CMC). This approach benefits from the technological advantages involved in distributed computing and the possibility of implementing specialized and independent music services which may in turn be part of multiple CMCs. The mu...

In this paper a new graph-based model is proposed for the representation of textual documents. Graph-structures are obtained from textual documents by making use of the well-known Part-OfSpeech (POS) tagging technique. More specifically, a simple rule-based (re)classifier is used to map each tag onto graph vertices and edges. As a result, a decomposition of textual documents is obtained where t...

In order to establish patterns of materialization of the beliefs we are going to consider that these have defined mathematical structures. It will allow us to understand better processes of the textual, architectonic, normative, educative, etc., materialization of an ideology. The materialization is the conversion by means of certain mathematical correspondences, of an abstract set whose elemen...

This paper describes text meaning representation for Chinese. Text meaning representation is composed of a set of ontological concept instances along with ontological links among them. It integrates lexical, textual and world knowledge into a single hierarchical framework. In NLP application it serves as an interlingual representation for various processing. The methodology and implementation o...