Recognition of causality is important to achieve natural language discourse understanding. Previous approaches rely on shallow linguistic features. In this work, we propose to identify causality in verbnoun pairs by exploiting deeper semantics of nouns and verbs. Particularly, we acquire and employ three novel types of knowledge: (1) semantic classes of nouns with a high and low tendency to enc...

In this paper, we establish a notion of causality that should be used as a desideratum for memory models and code transformations of parallel programs. We introduce a Causal Acyclic Consistency (CAC) model which is weak enough to allow various useful code transformations, yet still strong enough to prevent any execution that exhibits “causal cycles” that may be caused by the Java Memory Model (...

It is still not known how to define causality, although its importance has much been stressed in psychology, including text comprehension. The example of gravitation is presented, showing that causality has a surprisingly variable definition. The distinction between epistemological, ontological, and psychological questionings is proposed, in order to clarify earlier theoretical contributions ab...

Perfectly synchronous systems immediately react to the inputs of their environment. These instantaneous reactions may result in so-called causality cycles between the actions of a system and their preconditions. Programs with causality cycles may or may not have consistent and unambiguous behaviors. For this reason, compilers have to perform a causality analysis before code generation. In this ...

abstract i n this paper we investigated total energy consumption and its individual forms (oil, natural gas, electricity, renewable energies and coal) relationship with real gross domestic product (gdp) in iran. we employed hsiao’s (1981) methodology and annual data which cover 1967-2010 for investigation. the empirical findings indicate there is bidirectional causality effect with real gdp and...

chronic arsenic poisoning (arsenicosis) is a global health risk, and it has been reported to improve the fitness, especially in altitudinal sickness in therapeutic dose. scarcity of systematic study on psychiatric co-morbidities in arsenicosis motivated us to conduct this research. the aim of this study was to estimate the co-morbid psychiatric disorders in patients with arsenicosis and to exam...

In this position paper we discuss three main shortcomings of existing approaches to counterfactual causality from the computer science perspective, and sketch lines of work to try and overcome these issues: (1) causality definitions should be driven by a set of precisely specified requirements rather than specific examples; (2) causality frameworks should support system dynamics; (3) causality ...

The Temporal Network Visualizer is an experimental system to perform real-time visualization of time varying network oriented data. It builds upon the concept of stripcharts to augment a user's memory of past events, enhancing the user's ability to recognize patterns that occur across time as well as space, patterns that we associate with causality. Examples are given for visualizing transactio...

Using quantum entanglement as a simple model of correlations between two systems, one can show that a new causal category must be incorporated into any complete description of physical reality. Such “structural causality” is related to the structural properties of the product space underlying a functional description of a multipart entity. Aristotelian causal categories and the restricted deriv...