Results 11 to 20 of about 50,253,444 (339)
Contemporary Contrastive Studies of Polish, Bulgarian and Russian Neologisms versus Language Corpora
Cognitive Studies | Études cognitives, 2015 Contemporary Contrastive Studies of Polish, Bulgarian and Russian Neologisms versus Language Corpora In the field of Slavonic linguistics contrastive studies of neologisms occupy little place, the newest words are insufficiently described and ...
Joanna Satoła-Staśkowiak
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Corpus-based contrastive studies
Languages in Contrast: International Journal for Contrastive Linguistics, 2020 This article outlines the beginnings of corpus-based contrastive studies with special reference to the development of parallel corpora that took place in Scandinavia in the early 1990s under the direction of Stig Johansson. It then discusses multilingual
H. Hasselgård
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Semantic contrastive linguistics theory and dialectological studies
Cognitive Studies | Études cognitives, 2015 Semantic contrastive linguistics theory and dialectological studies Theoretical contrastive studies (hereinafter referred to as TCS) emerged with a view to compare and contrast natural languages on the basis of a logical interlanguage.
Danuta Roszko
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Semantics, contrastive linguistics and parallel corpora
Cognitive Studies | Études cognitives, 2014 Semantics, contrastive linguistics and parallel corpora In view of the ambiguity of the term “semantics”, the author shows the differences between the traditional lexical semantics and the contemporary semantics in the light of various semantic schools.
Violetta Koseska
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Contrastive Studies on Proverbs
Procedia - Social and Behavioral Sciences, 2014 AbstractFolk proverbs and sayings are an integral part of the spiritual treasures of the culture and language of the people, the age-old wisdom and skills used by them - an important part of the culture of human language. In fact, the main purpose of the article is interpretations of English and Kazakh folk proverbs, which can artistically embody ...
K. Syzdykov
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Model-Contrastive Federated Learning [PDF]
Computer Vision and Pattern Recognition, 2021 Federated learning enables multiple parties to collaboratively train a machine learning model without communicating their local data. A key challenge in federated learning is to handle the heterogeneity of local data distribution across parties. Although
Qinbin Li, Bingsheng He, D. Song
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Disentangled Contrastive Collaborative Filtering [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Recent studies show that graph neural networks (GNNs) are prevalent to model high-order relationships for collaborative filtering (CF). Towards this research line, graph contrastive learning (GCL) has exhibited powerful performance in addressing the ...
Xubin Ren +4 more
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PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow [PDF]
Computer Vision and Pattern Recognition, 2023 During industrial processing, unforeseen defects may arise in products due to uncontrollable factors. Although unsupervised methods have been successful in defect localization, the usual use of pre-trained models results in lowresolution outputs, which ...
Jiarui Lei +3 more
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SelfReg: Self-supervised Contrastive Regularization for Domain Generalization [PDF]
IEEE International Conference on Computer Vision, 2021 In general, an experimental environment for deep learning assumes that the training and the test dataset are sampled from the same distribution. However, in real-world situations, a difference in the distribution between two datasets, i.e.
Daehee Kim +3 more
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Contrastive Learning for Cold-Start Recommendation [PDF]
ACM Multimedia, 2021 Recommending purely cold-start items is a long-standing and fundamental challenge in the recommender systems. Without any historical interaction on cold-start items, the collaborative filtering (CF) scheme fails to leverage collaborative signals to infer
Yin-wei Wei +6 more
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