First, we provide engineers with a summary of the recent advances in NLP and outline which aspects of engineering design have been digitized thus far (Section 2).In Section …
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Machine learning approaches play a significant role for opinion mining. ... video and image processing, and intelligent system design [14]. Information fusion also exists extensively …
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The present paper examines the theoretical and conceptual aspects of the question how engineering design methods, inspired by mechatronics can be used in the development of mining equipment.
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The task of detecting and classifying these features is called Argument(ation) Mining. It is a field of corpus-based discourse analysis and its main objective can be described …
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The dominant approach to argument mining has been to treat it as a machine learning problem based upon superficial text features, and to treat the relationships between …
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As part of the same legacy, where industrial manufacturing—as a system—was premised on the exploitation of extractive materials and fossil fuels, designers are natural-born …
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It is established that mining machines may be improved by refining the geometric relations between production objects at the design stage, on the basis of a systems approach; …
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This Review explores the status and progress made over the past decade in the areas of raw material mining, battery materials and components scale-up, processing, and …
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Software systems that help you monitor your machines, giving you a full overview of your fleet and enabling you to control and optimize your operations. ... rock or overburden more efficiently, …
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the history of design may be read as the history of individuals and groups who have striven to DESIGNERS AND DESIGN DISCOURSE separate design from other commerciaL and cultural …
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This mining method uses heavy machinery designed for large-scale operations for mineral exploration. Key mining equipment includes wheel loaders, drilling machines, excavators, mining/dump trucks, and bulldozers. …
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Contemporary mining equipment design emphasizes energy efficiency, reduced environmental footprint, and improved resource recovery rates, often integrating innovative materials and …
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anticipatory discourse in technology-mediated contexts. Keywords Uncertainty, Uncertainty-related Emotions, Twitter, X, Corpus Lin-guistics, Text Mining, Natural Language Processing, …
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Abstract. The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In …
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Lecture 22: Surface Mining Machinery Machinery for Continuous Excavation : Bucket Wheel Excavator" Download: 23: Lecture 23: Surface Mining Machinery Machinery for Continuous …
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Furthermore, Equation (1) provides a formula for calculating the optimal load capacity of a mining truck, considering the truck's design ... The strategic adoption of machine …
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corpus-based data-mining methods, as an integral part of automatic text summarization via rhetorical structure and Discourse Markers. Encouraging results are reported. 1 Introduction ...
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Argumentation Mining in Scientific Discourse Nancy L. Green University of North Carolina Greensboro, Greensboro, NC, USA [email protected] Abstract The dominant approach to …
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We provide innovative mining equipment, consumables and services for drilling and rock excavation. Whether the application is surface and underground mining, infrastructure, civil …
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Sample skills sought in recent discourse NLP job ads • Computational analysis of discourse on the COVID -19 pandemic in English/German print/online media • Development of an …
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The growing number of scientific publications and the shortening of the research-publication cycles makes it increasingly harder for authors, reviewers and editors to stay up-to …
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Spiroid is actually a registered trade mark and brand name for a family of skew gears designed for higher torque transmission than worm gears - the curved teeth are an integral feature of the Spiroid design. The patented …
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ods (e.g., opinion mining, question answering,2 or summarization3), and requires novel approaches within the argumentation mining field. Although user-generated Web con-tent has …
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Argumentation mining is an advanced form of human language understanding by the machine. This is a challenging task for a machine. When sufficient explicit discourse …
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Module Handbook Data and Discourse Studies – Computer Science 9 3 Qualification objectives / learning outcomes After successfully taking part, the students will be able to understand and …
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More recently, developments in the fields of Natural Language Processing and machine learning have offered new opportunities for using computers for text analysis in social …
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It then covers traditional machine learning methods along with the most recent works using deep learning, and compare their performances on benchmark datasets. For each discourse …
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With the increasing development of Web 2.0, such as social media and online businesses, the need for perception of opinions, attitudes, and emotions grows rapidly. …
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