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SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation

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 semantic simi...

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Detalles Bibliográficos
Autores principales: Tao, Shaoyu, Shen, Chaoyuan, Zhu, Li, Dai, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603561/
https://www.ncbi.nlm.nih.gov/pubmed/33149736
http://dx.doi.org/10.1155/2020/5343214
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author Tao, Shaoyu
Shen, Chaoyuan
Zhu, Li
Dai, Tao
author_facet Tao, Shaoyu
Shen, Chaoyuan
Zhu, Li
Dai, Tao
author_sort Tao, Shaoyu
collection PubMed
description 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 semantic similarity, which is a difficult problem to solve. In this paper, we propose a novel context-aware citation recommendation approach that can essentially improve the orthogonality of the weight matrix and explore more accurate citation patterns. We quantitatively show that the various reference patterns in the paper have interactional features that can significantly affect link prediction. We conduct experiments on the CiteSeer datasets. The results show that our model is superior to baseline models in all metrics.
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spelling pubmed-76035612020-11-03 SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation Tao, Shaoyu Shen, Chaoyuan Zhu, Li Dai, Tao Comput Intell Neurosci Research Article 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 semantic similarity, which is a difficult problem to solve. In this paper, we propose a novel context-aware citation recommendation approach that can essentially improve the orthogonality of the weight matrix and explore more accurate citation patterns. We quantitatively show that the various reference patterns in the paper have interactional features that can significantly affect link prediction. We conduct experiments on the CiteSeer datasets. The results show that our model is superior to baseline models in all metrics. Hindawi 2020-10-22 /pmc/articles/PMC7603561/ /pubmed/33149736 http://dx.doi.org/10.1155/2020/5343214 Text en Copyright © 2020 Shaoyu Tao et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tao, Shaoyu
Shen, Chaoyuan
Zhu, Li
Dai, Tao
SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation
title SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation
title_full SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation
title_fullStr SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation
title_full_unstemmed SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation
title_short SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation
title_sort svd-cnn: a convolutional neural network model with orthogonal constraints based on svd for context-aware citation recommendation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603561/
https://www.ncbi.nlm.nih.gov/pubmed/33149736
http://dx.doi.org/10.1155/2020/5343214
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