The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A context-aware citation recommendation model with BERT and graph convolutional networks
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Citations
Cites
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 54,325
Variational Graph Auto-EncodersPreprint
Kipf, T., & Welling, M. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1611.07308 · Cited by 4,300
Learning Convolutional Neural Networks for GraphsPreprint
Niepert, M., Ahmed, M., & Kutzkov, K. (2016) · International Conference on Machine Learning · doi:10.48550/arxiv.1605.05273 · Cited by 2,315
Measuring Contextual Citation Impact of Scientific Journals
Moed, H. F. (2010) · Journal of Informetrics · doi:10.1016/j.joi.2010.01.002 · Cited by 628
Context-aware citation recommendation
He, Q., Pei, J., Kifer, D., Mitra, P., & Giles, C. L. (2010) · International World Wide Web Conference (WWW) · doi:10.1145/1772690.1772734 · Cited by 371
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Kang, D., Ammar, W., Dalvi, B., Zuylen, M., Kohlmeier, S., Hovy, E., & Schwartz, R. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · doi:10.18653/v1/n18-1149 · Cited by 270
The ACL anthology network corpus
Radev, D., Muthukrishnan, P., Qazvinian, V., & Abu-Jbara, A. (2013) · Language Resources and Evaluation · doi:10.1007/s10579-012-9211-2 · Cited by 252
A scientometric review of emerging trends and new developments in recommendation systems
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A Neural Probabilistic Model for Context Based Citation Recommendation
Huang, W., Wu, Z., Liang, C., Mitra, P., & Giles, C. L. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9528 · Cited by 161
Research works printed but not linked: 9
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- He, Q., Pei, J., Kifer, D., Mitra, P., & Giles, L. (2010). In Proceedings of the 19th international conference on World wide web (pp. 421–430). ACM
- Huang, W., Wu, Z., Liang, C., Mitra, P., & Giles, C. L. (2015). In Proceedings of the twenty-ninth AAAI conference on artificial intelligence (pp. 2404–2410). AAAI Press.
- Kang, D., Ammar, W., Dalvi, B., van Zuylen, M., Kohlmeier, S., Hovy, E., & Schwartz, R. (2018). In Proceedings of the 2018 conference of the North American chapter of the association for computational linguistics: Human language technologies, Volume 1 (Long Papers) (Vol. 1, pp. 1647–1661).
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- Le, Q., & Mikolov, T. (2014). Distributed representations of sentences and documents. arXiv preprint arXiv:1405.4053 · arXiv
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- Rezende, D. J., Mohamed, S., & Wierstra, D. (2014). In Proceedings of the 31st international conference on international conference on machine learning—Volume 32 (JMLR.org), ICML’14 (pp. II–1278–II–1286). http://dl.acm.org/citation.cfm?id=3044805.3045035
Cited by
Sorted by citations
BERTScore: Evaluating Text Generation with BERT
Zhang, T., Kishore, V., Wu, F., Weinberger, K. Q., & Artzi, Y. (2019) · arXiv · doi:10.48550/arxiv.1904.09675 · Cited by 2,865
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Cohan, A., Feldman, S., Beltagy, I., Downey, D., & Weld, D. S. (2020) · Proceedings of the conference - Association for Computational Linguistics. Meeting · doi:10.18653/v1/2020.acl-main.207 · Cited by 769
S2ORC: The Semantic Scholar Open Research Corpus
Lo, K., Wang, L. L., Neumann, M., Kinney, R., & Weld, D. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.447 · Cited by 457
Wang, S., Govindaraj, V., Górriz, J. M., Zhang, X., & Zhang, Y. (2020) · Information Fusion · doi:10.1016/j.inffus.2020.10.004 · Cited by 353
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Lu, Z., Du, P., & Nie, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-45439-5_25 · Cited by 162
Metadata
- Authors
- Jeong, C., Jang, S., Park, E., & Choi, S.
- Affiliations
- Gachon University (KR)
- Naver (South Korea) (KR)
- Corresponding author
- Park, Eunjeong
- Choi, Sungchul
- Venue
- Scientometrics
- Published
- 2020-07-13
- Volume
- 124
- Issue
- 3
- Pages
- 1907-1922
- ISSN
- 0138-9130 (ISSN-L)
- 1588-2861
- OpenAlex
- W3043016077
- Cited by
- 186
- References
- 18
- Citations by year
- 2026: 17 · 2025: 16 · 2024: 25 · 2023: 38 · 2022: 39 · 2021: 35 · 2020: 12
- FWCI
- 29.17
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Scientometrics (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Funders
- National Research Foundation of Korea (NRF-2018R1D1A1B07045825, NRF-2015R1C1A1A01056185)
- Topics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- citation recommendation, BERT, graph convolutional networks, context encoder, scientific writing
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