An LLM-based NLP pipeline to assist government agencies in digesting massive public comments and mitigating spam.
Weixuan Dong|Rui Zhu|Matthew Jensen|Elena Bessarabova|Sonya Sachdeva|Jeong-Nam Kim|Neil Talbert|Loarre Andreu Perez|Yifu Li
| Anthology ID: | DBLP:journals/ipm/DongZJBSKTPL26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104821 |
| URL: | https://doi.org/10.1016/J.IPM.2026.104821 |
| DOI: | https://doi.org/10.1016/J.IPM.2026.104821 |
| DBLP: | journals/ipm/DongZJBSKTPL26 |
| BibTeX: |
@article{dong-2026-llmbased,
author = {Weixuan Dong and
Rui Zhu and
Matthew Jensen and
Elena Bessarabova and
Sonya Sachdeva and
Jeong-Nam Kim and
Neil Talbert and
Loarre Andreu Perez and
Yifu Li},
title = {{An LLM-based NLP pipeline to assist government agencies in digesting massive public comments and mitigating spam}},
journal = {Information Processing and Management},
volume = {63},
number = {7},
pages = {104821},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2026.104821},
doi = {https://doi.org/10.1016/J.IPM.2026.104821}
}