SEDA: A Self-Adapted Entity-Centric Data Augmentation for Boosting Grid-based Discontinuous NER Models.
Wen-Fang Su|Hsiao-Wei Chou|Wen-Yang Lin
| Anthology ID: | DBLP:conf/smallext/SuCL25 |
|---|---|
| Volume: | Proceedings of the 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT 2025) co-located with CIKM 2025, Seoul, Korea, November 14, 2025. |
| Year: | 2025 |
| Venue: | Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT) |
| Publisher: | CEUR-WS.org |
| Pages: | 25-39 |
| URL: | https://ceur-ws.org/Vol-4200/paper3.pdf |
| DBLP: | conf/smallext/SuCL25 |
| BibTeX: |
@inproceedings{su-2025-seda,
author = {Wen-Fang Su and
Hsiao-Wei Chou and
Wen-Yang Lin},
editor = {Felice Antonio Merra and
Kristian Skracic and
Daniele Malitesta and
Jacek Golebiowski and
Pasquale Minervini},
title = {{SEDA: A Self-Adapted Entity-Centric Data Augmentation for Boosting Grid-based Discontinuous NER Models}},
booktitle = {{Proceedings of the 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction (SmaLLEXT 2025) co-located with CIKM 2025, Seoul, Korea, November 14, 2025}},
series = {CEUR Workshop Proceedings},
volume = {4200},
pages = {25--39},
publisher = {CEUR-WS.org},
year = {2025},
url = {https://ceur-ws.org/Vol-4200/paper3.pdf}
}