Embedding-Based Data Matching for Disparate Data Sources
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-68323-7_5
Reference8 articles.
1. Lecture Notes in Computer Science;K Christodoulou,2015
2. Zhang, Y., et al.: Schema matching using pre-trained language models. In: 2023 IEEE 39th International Conference on Data Engineering (ICDE), pp. 1558–1571. IEEE, Anaheim, CA, USA (2023). https://doi.org/10.1109/ICDE55515.2023.00123
3. LNCS;S Dash,2023
4. Lewis, M., et al.: BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension (2019). http://arxiv.org/abs/1910.13461
5. Liu, H., Cui, L., Liu, J., Zhang, Y.: Natural language inference in context - investigating contextual reasoning over long texts. In: AAAI, vol. 35, pp. 13388–13396 (2021). https://doi.org/10.1609/aaai.v35i15.17580
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