A novel paper-reviewer recommendation method based on a semantics and correlation fusion model

Author:

Zhang Peng1ORCID,Fu Peng1ORCID,Chen Kaixuan2ORCID,Zhang Jing2ORCID

Affiliation:

1. Nanjing University of Science and Technology, China

2. Jiangsu Guidgine Educational Evaluation Inc, China

Publisher

ACM

Reference16 articles.

1. Reviewer assignment algorithms for peer review automation: A survey

2. Chen, R. C., Huang, Y. H., Bau, C. T., & Chen, S. M. (2012). A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection. reviewer Systems with Applications, 39(4), 3995-4006.

3. A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation;Zhang D.;ACM Transactions on Information Systems (TOIS),2020

4. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.

5. Tenney, I., Das, D., & Pavlick, E. (2019). BERT rediscovers the classical NLP pipeline. arXiv preprint arXiv:1905.05950.

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