Results 41 to 50 of about 6,614,138 (295)

A Cognitive Approach in Onomastics: Some Notes on Metaphorical Place-Names

open access: yesВопросы ономастики, 2022
In the framework of cognitive linguistics, metaphor is considered as a general cognitive mechanism that plays a fundamental role in human thinking and understanding, in the creation of our social, cultural, and psychological reality, while also impacting
Katalin Reszegi
doaj   +1 more source

Research Perspectives on the Public Domain [PDF]

open access: yes, 2014
This document presents an edited transcript of the one-day event, ‘Research Perspectives on the Public Domain’, held at the University of Glasgow on 11thOctober, 2013.
Erickson, Kristofer, Kretschmer, Martin
core   +1 more source

Source-Free Implicit Semantic Augmentation for Domain Adaptation

open access: yes, 2022
Unsupervised Domain Adaptation (UDA) challenges the problem of alleviating the effect of domain shift. Common UDA methods all require labelled source samples.
Z Zhang (7695560), Zili Zhang (13101534)
core   +1 more source

Conceptual Mapping in Metaphors of RUSSIAN-UKRAINIAN WAR in Selected British and Chinese Editorials [PDF]

open access: yesMaǧallaẗ Kulliyyaẗ Al-Adāb - Ǧāmiʿaẗ Al-Fayūm
Conceptual mapping is a fundamental cognitive and communicative tool that services to understanding and interpreting complex concepts. In the context of editorial writing, mapping serves as an effective strategy for presenting arguments and ideas in a ...
Shereen Elnahal
doaj   +1 more source

Source Domains of Smell Related Metaphorical Collocations: Study Based on Corpus of Contemporary American English

open access: yesRespectus Philologicus, 2020
The paper discusses source domains of smell related metaphorical collocations. The research is limited to metaphorical collocations with pleasant smell denoting words scent, fragrance, aroma, and perfume in the Corpus of Contemporary American English ...
Linas Selmistraitis, Renata Boikova
doaj   +1 more source

Domain‐invariant adversarial learning with conditional distribution alignment for unsupervised domain adaptation

open access: yesIET Computer Vision, 2020
Unsupervised domain adaption aims to reduce the divergence between the source domain and the target domain. The final objective is to learn domain‐invariant features from both domains that get the minimised expected error on the target domain.
Xingmei Wang, Boxuan Sun, Hongbin Dong
doaj   +1 more source

Revisiting the binding designation between source and target domains in the creation of Javanese food names metaphors

open access: yesCogent Arts & Humanities, 2023
This study aims to investigate metaphorical representation in Javanese food names in terms of linguistic forms, metaphorical element distribution, similarity basis, source domains, and sociocultural factors underlying their existence. This study employed
  Hendrokumoro   +2 more
doaj   +1 more source

A Jesuit Perspective on Metaphors for COVID-19 in the Online Journal Thinking Faith

open access: yesRespectus Philologicus, 2021
This article investigated how metaphors for COVID-19 were framed in a Catholic-based journal Thinking Faith. Data, consisting of 107 metaphors, were collected from the online journal and were analyzed within the Jesuit perspectives.
Truly Almendo Pasaribu   +2 more
doaj   +1 more source

An Instance Transfer-Based Approach Using Enhanced Recurrent Neural Network for Domain Named Entity Recognition

open access: yesIEEE Access, 2020
Recently, neural networks have shown promising results for named entity recognition(NER), which needs a number of labeled data to for model training. When meeting a new domain (target domain) for NER, there is no or a few labeled data, which makes domain
Chuanbo Liu   +3 more
doaj   +1 more source

Universal Source-Free Domain Adaptation

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
There is a strong incentive to develop versatile learning techniques that can transfer the knowledge of class-separability from a labeled source domain to an unlabeled target domain in the presence of a domain-shift. Existing domain adaptation (DA) approaches are not equipped for practical DA scenarios as a result of their reliance on the knowledge of ...
Jogendra Nath Kundu   +3 more
openaire   +2 more sources

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