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On Setting Texts to Notes in EnglishSome of the next articles are maybe not open access.
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Continuous Similarity Search for Text Sets
Lecture Notes in Computer Science, 2022Koga Hisashi
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Computing in Science & Engineering, 1999
The authors present a visualization methodology which provides users with a way to alter perspectives and interpret visualization so that they can quickly identify trends, outliers, and possible clusters while tuning for a particular context. The technology developed for text mining is called Trust, or Text Representation Using Subspace Transformation.
Andrew Booker +7 more
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The authors present a visualization methodology which provides users with a way to alter perspectives and interpret visualization so that they can quickly identify trends, outliers, and possible clusters while tuning for a particular context. The technology developed for text mining is called Trust, or Text Representation Using Subspace Transformation.
Andrew Booker +7 more
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Using Mentor Texts to Deconstruct Text Sets
2022We recognize that students need literacy practices that transcend grade levels and content areas as well as multiple opportunities to showcase and to see their culture(s) in the texts they read. Therefore, in this chapter, the authors consider how culturally and linguistically responsive pedagogy can help support literacy experiences for students and ...
Rhonda C. Hylton, William P. Bintz
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Multiple Sets of Rules for Text Categorization
2004This paper concerns how multiple sets of rules can be generated using a rough sets-based inductive learning method and how they can be combined for text categorization by using Dempster's rule of combination. We first propose a boosting-like technique for generating multiple sets of rules based on rough set theory, and then model outcomes inferred from
Yaxin Bi +2 more
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Hierarchical Text Categorization in a Transductive Setting
2008 IEEE International Conference on Data Mining Workshops, 2008Transductive learning is the learning setting that permits to learn from "particular to particular'' and to consider both labelled and unlabelled examples when taking classification decisions. In this paper, we investigate the use of transductive learning in the context of hierarchical text categorization.
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Beyond the linked text set: text set assemblages and the Linked Text Set Map
English Teaching: Practice & CritiquePurpose This paper aims to critique the structural limitations of linked text sets, a common tool in secondary English curriculum design, arguing that their reliance on canonical anchor texts limits efforts at diversification.
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Rhythm and Text Setting in "The Mikado"
19th-Century Music, 1990Unlike Jacques Offenbach and Johann Strauss, Jr., Arthur Sullivan did not begin his career as a composer of light music, and even at the zenith of Gilbert and Sullivan mania he never dedicated himself entirely to the popular. If there were "two cultures" of music in the nineteenth century-the kiinstlich and the trivial-Sullivan was one of the rare ...
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Learning a taxonomy from a set of text documents
Applied Soft Computing, 2012We present a methodology for learning a taxonomy from a set of text documents that each describes one concept. The taxonomy is obtained by clustering the concept definition documents with a hierarchical approach to the Self-Organizing Map. In this study, we compare three different feature extraction approaches with varying degree of language ...
García-Plaza, Alberto Pérez +5 more
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