From NER to Business Process Automation: Comparative Evaluation of CNN, LSTM, and Transformer Models for Address Intelligence
- DOI
- 10.21203/rs.3.rs-11113348/v1
- Published
- 2026-09-22
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-11113348/v1,
title = {From NER to Business Process Automation: Comparative Evaluation of CNN, LSTM, and Transformer Models for Address Intelligence},
author = {Saurabh Kumar Srivastava and Vikas Jalodia and Divya Srivastava},
year = {2026},
doi = {10.21203/rs.3.rs-11113348/v1},
url = {https://doi.org/10.21203/rs.3.rs-11113348/v1}
}RIS
TY - JOUR TI - From NER to Business Process Automation: Comparative Evaluation of CNN, LSTM, and Transformer Models for Address Intelligence AU - Saurabh Kumar Srivastava AU - Vikas Jalodia AU - Divya Srivastava PY - 2026 DO - 10.21203/rs.3.rs-11113348/v1 UR - https://doi.org/10.21203/rs.3.rs-11113348/v1 ER -
APA
Srivastava, S. K., Jalodia, V., & Srivastava, D. (2026). From NER to Business Process Automation: Comparative Evaluation of CNN, LSTM, and Transformer Models for Address Intelligence. https://doi.org/10.21203/rs.3.rs-11113348/v1
Source records
- crossref · retrieved 2026-11-10T13:42:31.979Z