ORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data. Esteves, D., Marcelino, J., Chawla, P., Fischer, A., & Lehmann, J. In Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings, volume 12695, of Lecture Notes in Computer Science, pages 89–100, 2021. Springer.
ORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/ida/EstevesMCF021b,
title = {ORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data},
author = {Diego Esteves and 
José Marcelino and 
Piyush Chawla and 
Asja Fischer and 
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-74251-5_8},
doi = {10.1007/978-3-030-74251-5_8},
year  = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Advances in Intelligent Data Analysis XIX - 19th International Symposium 
on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 
2021, Proceedings},
volume = {12695},
pages = {89--100},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {76-8485},
pubstate = {published},
tppubtype = {inproceedings}
}

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