Results 31 to 40 of about 655 (225)
Descripciones definidas y negociación del significado : un punto de vista conversacional
Cuadernos de Investigación Filológica, 2013 In this paper, the reader will find a critical review of Donnellan's well-known distinction between the 'referential' and the 'attributive' uses of definite descriptions. In this respect, Kripke's (1979) and Searle's (1979) proposals are examined.
Francisco José Ruiz de Mendoza Ibáñez
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The adjective: an eminently syncategorematic part of speech
Kalbotyra, 2021 In this article we propose an alternative to the theories which subdivide the adjective into three major types (qualifier, relational, adjective of the third type), themselves subdivided into several subclasses.
Jan Goes
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Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes [PDF]
, 2012 We consider the problem of semi-supervised bootstrap learning for scene categorization. Existing semi-supervised approaches are typically unreliable and face semantic drift because the learning task is under-constrained. This is primarily because they ignore the strong interactions that often exist between scene categories, such as the common ...
Abhinav Shrivastava +2 more
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From proper name to epithet: motivation and change in the fashion industry
Lexis: Journal in English Lexicology, 2022 The purpose of this paper is to investigate English terms and, more precisely, nominal constructs (Booij [2010]) with proper names as modifiers, in the changing history of fashion and customs. Starting on the assumption that proper names and common nouns
Silvia Cacchiani
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A Stylistic Analysis of Adjectives in Selected Political and Religious Speeches
مجلة الآداب, 2018 Politicians and religious figures usually rely heavily on their linguistic abilities to persuade their audience with their allegations because only through language can they shape their audience thoughts.
خولة شكر محمود
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Explaining Visual Classification using Attributes [PDF]
2019 International Conference on Content-Based Multimedia Indexing (CBMI), 2019 The performance of deep Convolutional Neural Networks (CNN) has been reaching or even exceeding the human level on large number of tasks. Some examples are image classification, Mastering Go game, speech understanding etc. However, their lack of decomposability into intuitive and understandable components make them hard to interpret, i.e.
Muneeb Ul Hassan 0003 +3 more
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Identifying concept attributes using a classifier [PDF]
Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition - DeepLA '05, 2005 We developed a novel classification of concept attributes and two supervised classifiers using this classification to identify concept attributes from candidate attributes extracted from the Web. Our binary (attribute / non-attribute) classifier achieves an accuracy of 81.82% whereas our 5-way classifier achieves 80.35%.
Poesio, Massimo, A. Almuhareb
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Types d’adjectifs et fonctions adjectivales : quelques réflexions [PDF]
Studii de Lingvistica, 2015 Starting from the hypothesis that one adjective can qualify in three different ways (qualificative, relational and a “third type”) we try to prove that one and the same adjective has different degrees of predicativity depending on its attributive uses.
Jan Goes
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Russian Journal of Linguistics, 2022 Contemporary Russian lexicon is characterized by rapid change which involves borrowings, the use of new words and expressions as well as the development of new meanings from the existing word forms. The new meanings are indicative of new attitudes or the
Anna Gladkova
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Multifont classification using typographical attributes [PDF]
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999 This paper introduces a multifont classification scheme to help with the recognition of multifont and multisize characters. It uses typographical attributes such as ascenders, descenders and serifs obtained from a word image. The attributes are used as an input to a neural network classifier to produce the multifont classification results.
Min-Chul Jung +2 more
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