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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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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. |
format | Online Article Text |
id | pubmed-7603561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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