In this paper we present a system for resolving definite descriptions co-reference in English written texts. The system uses a set of heuristics that identifies different types of definite descriptions. The heuristics development was based on an empirical analysis of definite description use in newswire texts. We developed algorithms for the automatic analysis of several features of each defini...

In this paper we introduce a new way of displacing Lagrangian fibers in toric symplectic manifolds, a generalization of McDuff’s original method of probes. Extended probes are formed by deflecting one probe by another auxiliary probe. Using them, we are able to displace all fibers in Hirzebruch surfaces except those already known to be nondisplaceable, and can also displace an open dense set of...

MCT-21 Identification And LQ Digital Control Of A Set Of Equal Cylinder Atmospheric Tanks – Simulation Study Vladimir Bobal, Petr Dostal, Marek Kubalcik, Stanislav Talas IS-121 New Approach Of Constant Resolving Of Analytical Programming Tomas Urbanek, Zdenka Prokopova, Radek Silhavy, Ales Kuncar SIMO-40 Social And Ecological Capabilities For A Sustainable Hierarchical Production Planning Marco...

This article presents a measure of semantic similarity in an is-a taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and...

This paper describes how we simulate a dialog aimed at resolving conflicts between an Instructing and an Executing Agent in explanation text planning. We describe how the two agents are modelled. We then illustrate the algorithm which, starting from the discovery of a conflict and proceeding through a set of negotiated belief revisions, brings to solve the conflict or to conclude that it cannot...

In this paper, we prove that quantum layers over a surface which is ruled outside a compact set, nonplanar but asymptotically flat, admit a ground state for the Dirichlet Laplacian. The work here also represents some technical progress toward resolving the conjecture that a quantum layer over any nonplanar, asymptotically flat surface with integrable Gauss curvature must possess ground state. ©...

We describe a free-form stroke-based modeling system where objects are primarily represented by means of variational surfaces. Although similar systems have been described in recent years, our approach achieves both a good performance and reduced surface leak problems by employing a coarse mesh as support for constraint points. The prototype implements an adequate set of modeling operations, “u...

We present a nearest-neighbor algorithm for resolving prepositional phrase attachment ambiguities. Its performance is significantly higher than previous methods that were tested on the same data set. We will also show that the PP-attachment task provides a way to evaluate measures of distributional word similarities. Our experiments indicate that the cosine of pointwise mutual information vecto...

This paper proposes an unsupervised training approach to resolving overlapping ambiguities in Chinese word segmentation. We present an ensemble of adapted Naïve Bayesian classifiers that can be trained using an unlabelled Chinese text corpus. These classifiers differ in that they use context words within windows of different sizes as features. The performance of our approach is evaluated on a m...

Machine Learning facilitates the computers to mimic human intelligence by applying a set of rules to massive amounts of trained data and identifying patterns to make decisions and adapt based on what patterns are still uncovered. A number of applications ranging from spam detection, facial recognition, product recommendations to credit-card fraud detection, all of them apply machine learning pr...