Results 251 to 260 of about 133,012 (295)

Write Sentence with Images: Revisit the Large Vision Model with Visual Sentence. [PDF]

IS&T Int Symp Electron Imaging
Liu Q, Cui C, Deng R, Yao T, Yang Y, Tang Y, Huo Y.   +6 more
europepmc   +1 more source

A robust detect and describe framework for object recognition in early childhood education. [PDF]

PeerJ Comput Sci
Lv L, Yao S.
europepmc   +1 more source

Tracing the geopolitical influences on the morphological and functional transformation in Guangdong merchant ships: Knowledge mining from the Ming and Qing maritime archives. [PDF]

PLoS One
Ao J, Zhao M, Li W, Feng S, Ye Z, Xu Z, Ji S.   +6 more
europepmc   +1 more source

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Discourse synthesis: Textual transformations in writing from sources

Reading and Writing, 2022
James R King
exaly   +2 more sources

Textual Transformations in Written Discourse

1996
exaly   +2 more sources

Institutional transformation through positive textual deviance

International Journal of Sociology and Social Policy, 2007
PurposeThe paper aims to explore an affirmative, discursive perspective for its potential to expand the current understanding of processes of institutional transformation.Design/methodology/approachFirst the notion of institutional transformation is discussed and the “discursive model of institutionalization” as developed by Phillipset al.is described.
Danielle P. Zandee, Diana Bilimoria
openaire   +1 more source

Transforming Textual Patterns into Knowledge

2004
Business Intelligence (BI) can benefit greatly from the bulk of knowledge that stays hidden in the large amount of textual information existing in the organizational environment. Text Mining (TM) is a technology that provides the support to extract patterns from texts.
Hércules Antonio do Prado, José Palazzo Moreira de Oliveira, Edilson Ferneda, Leandro Krug Wives, Edilberto Magalhaes, Stanley Loh   +5 more
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Analysis and Transformation of Textual Energy Distribution

2013 12th Mexican International Conference on Artificial Intelligence, 2013
In this paper we revisit the Textual Energy model. We deal with the two major disadvantages of the Textual Energy: the asymmetry of the distribution and the unbounded ness of the maximum value. Although this model has been successfully used in several NLP tasks like summarization, clustering and sentence compression, no correction of these problems has
Alejandro Molina, Juan-Manuel Torres-Moreno, Eric Sanjuan, Gerardo Sierra, Julio Rojas-Mora   +4 more
openaire   +1 more source