This paper describes an unsupervised knowledge–lean methodology for automatically determining the number of senses in which an ambiguous word is used in a large corpus. It is based on the use of global criterion functions that assess the quality of a clustering solution.
One of the main obstacles to highperformance Word Sense Disambiguation (WSD) is the knowledge acquisition bottleneck. In this paper, we present a methodology to automatically extend WordNet with large amounts of semantic relations from an encyclopedic resource, namely Wikipedia. We show that, when provided with a vast amount of high-quality semantic relations, simple knowledge-lean disambiguation algorithms compete with state-of-the-art supervised WSD systems in a coarse-grained all-words setting and outperform them on gold-standard domain-speciﬁc datasets. ...
We aim to shed light on the state-of-the-art in NP coreference resolution by teasing apart the differences in the MUC and ACE task deﬁnitions, the assumptions made in evaluation methodologies, and inherent differences in text corpora. First, we examine three subproblems that play a role in coreference resolution: named entity recognition, anaphoricity determination, and coreference element detection.
In this paper we present a supervised Word Sense Disambiguation methodology, that exploits kernel methods to model sense distinctions. In particular a combination of kernel functions is adopted to estimate independently both syntagmatic and domain similarity. We deﬁned a kernel function, namely the Domain Kernel, that allowed us to plug “external knowledge” into the supervised learning process.
Knowledge of the Earth’s structure and dynamics calls for a multi-disciplinary study that
makes use of the most advanced methods of Physics, Chemistry, Geology, Mathematics
and Information Technology, in the framework, or in close collaboration with, the
different branches of Earth Sciences such as Geology, Geophysics and Geodesy.
Overall, Cambodia’s rubber export competitiveness remains weaker than that of
other countries in the region, except for the Lao People’s Democratic Republic. One
of the problems is that despite the application of conventional technology for the
management and maintenance of rubber trees and traditional rubber clones, per-
hectare rubber yield remains lower than in other countries of the region.
Although this book follows the layout of a programming book, the
underlying theme is financial modeling and quantitative trading
system development. In a sense, this book really marries four
disciplines—computer science, quantitative finance, trading strategy,
and quality development—into one, financial engineering. The
following chapter, Chapter 2, outlines the Kumiega–Van Vliet
Trading System Development Methodology, which as you will see
provides the underlying structure for the rest of the book....
Space research is one of the most evocative and challenging fields of human endeavour.
In the half-century that has elapsed since the beginning of the space age, we
have been exposed to wonders beyond the imagination of even the most visionary of
science fiction writers. We have peered deep into the Universe and studied physics
that we can never duplicate on the Earth. We have begun to understand our own
Sun, and the flow of energy outward through the Solar System that is fundamental
to our existence.
This book includes several geomorphological studies up-to-date, incorporating different disciplines and methodologies, always focused on methods, tools and general issues of environmental and applied geomorphology.
Changes in the use of land reflect a variety of environmental and social factors, necessitating an equally varied suite of data to be used for effective analysis. While remote sensing, both from satellites and air photos, provides a central resource for study, socio-economic surveys, censuses, and map sources also supply a wealth of valid information. Land Use Change: Science, Policy and Management presents spacial theories and methodologies that support an integrated approach to the analysis of land use change.
The power rate densities based on the original FEW coefficients and the all-negative coefficients for the three full-size vehicle tests are shown in Figs. 2.30 and 2.31, respectively. Note that in Fig. 2.31, the must-activate tests, #2' and #3', are well separated from the #1 test after the introduction of the all-negative coefficients. In crash severity analyses using power rate density (prd) and FEW coefficients, it has been assumed that the FEW coefficients be given before the prd computation.
The paper presents and discusses the methodology used and the results obtained by the application of the Principal Component Analysis (PCA) on a set of socio-economical and land use data collected in the Duy Tien district (Ha Nam province), Vietnam. Objective of this study is to use PCA as a data reduction method to verify if a relation could be established between the quantities of waste generated in a region and its land use and socio-economical characteristics.
While these methodologies may have worked for some organizations in the past and may still work in some
circumstances, for many companies these methodologies only added cost and complexity while providing a
false sense of security that management was “doing something” by exhaustively planning, measuring, and
controlling. Huge costs were sunk in premature planning, without the rapid iterative development and
continuous feedback from customers that we have come to realize are prerequisites for success today.
Introduction to Space Sciences and Spacecraft Applications explains the fundamentals of design, application, and operation of space-based systems. It focuses on the most common uses of spacecraft today: communications, remote sensing, and navigation. You will learn about the basic systems required by most spacecraft and the methodology used to design a spacecraft. The complexities of orbital mechanics are also fully explained. Amply illustrated with diagrams and photographs, each chapter contains exercises, historical information, and additional reference materials.
This training website is neither a solicitation nor an offer to Buy/Sell options, futures or securities. No representation is being made that any information you receive will or is likely to achieve profits or losses similar to those discussed on this training website. The past performance of any trading system or methodology is not necessarily indicative of future results. Please use common sense. This site and all contents are for educational and research purposes only. Please get the advice of a competent financial advisor before investing your money in any financial instrument.