In this paper, we view coreference resolution as a problem of ranking candidate partitions generated by different coreference systems. We propose a set of partition-based features to learn a ranking model for distinguishing good and bad partitions. Our approach compares favorably to two state-of-the-art coreference systems when evaluated on three standard coreference data sets.

Background Feature tracking (FT) software packages measure myocardial wall motion deformation parameters through the cardiac cycle. Myocardial tagging technique is currently considered the gold standard for myocardial deformation measurements. This study compares 2 FT-software packages with a tagging software package and investigates the differences in strain deformation parameters measured in ...

The passage discusses the use of technology in vehicle fuel systems, specifically injection system that is replacing conventional systems. One crucial component Engine Control Unit (ECU), which controls distribution current to all engine components. While standard ECUs used on motorcycles today have limitations, racing provide more quality and can improve performance. study aims evaluate engine...

This paper studies computational properties of fuzzy logic deduction and compares them with the standard inference methods. The principles of deduction in fuzzy logic are explained and algorithms for its computer realization are described. Basic algorithm has exponential complexity with respect to the number of antecedent variables, and in case of fuzzy observations we are able to improve its p...

This article demonstrates how the User Requirements Notation (URN) can be used to model business processes. URN combines goals and scenarios in order to help capture and reason about user requirements prior to detailed design. In terms of application areas, this emerging standard targets reactive systems in general, with a particular focus on telecommunications systems and services. This articl...

Recently, heavy-traffic theory has been applied for understanding behavior of delay in switches. The next section explains the heavy traffic scaling. With some toy examples, it discusses how Brownian motion arises in delay analysis and the idea of state-space collapse. Section 2 defines a switch and sketches a standard method for its stability analysis using the fluid scaling. For fluid scaling...

Classification trees are one of the most popular types of classifiers, with ease of implementation and interpretation being among their attractive features. Despite the widespread use of classification trees, theoretical analysis of their performance is scarce. In this paper, we show that a new family of classification trees, called dyadic classification trees (DCTs), are near optimal (in a min...

This paper explores the potential for the application of neurocomputing technology to the domain of post-operative liver transplant monitoring. The investigation compares a neural network model with two classical statistical techniques using biochemical information obtained from a set of liver transplant patients. Each approach combines the results of a number of liver function tests to predict...

In this note we consider the basic problem to identify linear relations in noise. We follow the viewpoint of factor analysis (FA) where the data is to be explained by a small number of independent factors and independent noise. Thereby an approximation of the sample covariance is sought which can be factored accordingly. An algorithm is proposed which weighs in an l1-regularization term that in...

This study compares metadiscourse markers in result and discussion sections of literature and engineering research papers. To this end, 40 research articles (20 literature and 20 engineering) are selected from two major international journals. Based on Hyland’s (2005) model of metadiscourse, the articles are codified in terms of frequency, percentage, and density of interactive and interactiona...