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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03153-5
Abstract: Citation recommendation systems mainly help researchers find the lists of references that related to their interests effectively and automatically. The existing approaches face the issues of data sparsity and high-dimensional in large-scale bibliographic network representation,…
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Keywords:
representation;
citation;
paper;
approach ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3004599
Abstract: The number of academic papers being published is increasing rapidly, and recommending sufficient citations to assist researchers in writing papers is a non-trivial task. Conventional recommendation approaches may not be optimal, as the recommended papers…
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Keywords:
based methods;
doccit2vec;
document based;
recommendation ... See more keywords
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Published in 2020 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2020/5343214
Abstract: Context-aware citation recommendation aims to automatically predict suitable citations for a given citation context, which is essentially helpful for researchers when writing scientific papers. In existing neural network-based approaches, overcorrelation in the weight matrix influences…
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Keywords:
context;
citation;
aware citation;
context aware ... See more keywords
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Published in 2022 at "Computational Linguistics"
DOI: 10.1162/coli_a_00438
Abstract: Abstract Based on an exponentially increasing number of academic articles, discovering and citing comprehensive and appropriate resources have become non-trivial tasks. Conventional citation recommendation methods suffer from severe information losses. For example, they do not…
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Keywords:
citation recommendation;
attention mechanisms;
citation;
model ... See more keywords