The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Multi-Modal Approach to Digital Document Stream Segmentation for Title Insurance Domain
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Cites
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
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Ganesh, P., Chen, Y., Lou, X., Khan, M. A., Yang, Y., Sajjad, H., Nakov, P., Chen, D., & Winslett, M. (2021) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00413 · Cited by 190
Self-citationEfficient Large-Scale Multi-Modal Classification
Kiela, D., Grave, E., Joulin, A., & Mikolov, T. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11945 · Cited by 177
Learn to combine modalities in multimodal deep learning
Liu, K., Li, Y., Xu, N., & Natarajan, P. (2018) · arXiv · doi:10.48550/arxiv.1805.11730 · Cited by 136
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Metadata
- Authors
- Guha, A., Alahmadi, A., Samanta, D., Khan, M. Z., & Alahmadi, A. H.
- Venue
- IEEE Access
- Published
- 2022
- Volume
- 10
- Pages
- 11341-11353
- ISSN
- 2169-3536
- Cited by
- 20
- References
- 4
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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