FSN: Joint Entity and Relation Extraction Based on Filter Separator Network.
- DOI
- 10.3390/e26020162
- Published
- 2024 Feb 12
- Container
- Entropy (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/e26020162,
title = {FSN: Joint Entity and Relation Extraction Based on Filter Separator Network.},
author = {Dai Q and Yang W and Wei F and He L and Liao Y},
year = {2024},
journal = {Entropy (Basel, Switzerland)},
doi = {10.3390/e26020162},
url = {https://doi.org/10.3390/e26020162}
}RIS
TY - JOUR TI - FSN: Joint Entity and Relation Extraction Based on Filter Separator Network. AU - Dai Q AU - Yang W AU - Wei F AU - He L AU - Liao Y PY - 2024 JO - Entropy (Basel, Switzerland) DO - 10.3390/e26020162 UR - https://doi.org/10.3390/e26020162 ER -
APA
Q, D., W, Y., F, W., L, H., & Y, L. (2024). FSN: Joint Entity and Relation Extraction Based on Filter Separator Network.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e26020162
Source records
- pubmed · retrieved 2026-09-25T13:28:02.570Z