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Published in 2018 at "Language, Cognition and Neuroscience"
DOI: 10.1080/23273798.2017.1408852
Abstract: ABSTRACT The representation of abstract and concrete concepts has long been a debated question in the literature. In previous work, we created a semantic space which was able to model abstract and concrete concepts in…
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Keywords:
space;
unified model;
model semantic;
semantic space ... See more keywords
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Published in 2023 at "PLOS ONE"
DOI: 10.1101/2023.03.23.533934
Abstract: Plant extract is a mixture of diverse phytochemicals, and considered as an important resource for drug discovery. However, large-scale exploration of the bioactive extracts has been hindered by various obstacles until now. In this research,…
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Keywords:
learning classification;
semantic space;
machine learning;
plant ... See more keywords
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Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3050803
Abstract: Zero-shot learning (ZSL) is a pretty intriguing topic in the computer vision community since it handles novel instances and unseen categories. In a typical ZSL setting, there is a main visual space and an auxiliary…
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Keywords:
bilateral connections;
semantic space;
shot learning;
zero shot ... See more keywords
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Published in 2020 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2020.00629
Abstract: Spatial demonstratives (words like this and that) have been thought to primarily be used for carving up space into a peripersonal and extrapersonal domain. However, when given a noun out of context and asked to…
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Keywords:
large scale;
space;
semantic space;
demonstrative choice ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24070943
Abstract: Cross-lingual document retrieval, which aims to take a query in one language to retrieve relevant documents in another, has attracted strong research interest in the last decades. Most studies on this task start with cross-lingual…
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Keywords:
lingual document;
document retrieval;
document;
cross lingual ... See more keywords
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Published in 2022 at "Future Internet"
DOI: 10.3390/fi14010025
Abstract: In the knowledge discovery field of the Big Data domain the analysis of geographic positioning and mobility information plays a key role. At the same time, in the Natural Language Processing (NLP) domain pre-trained models…
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Keywords:
scholars trajectories;
mobility;
mobility unsupervised;
word ... See more keywords