On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!".
Cláudio Moisés Valiense de Andrade|Fabiano Belém|Washington Cunha|Celso França|Felipe Viegas|Leonardo Rocha|Marcos André Gonçalves
| Anthology ID: | DBLP:journals/ipm/AndradeBCFV0G23 |
|---|---|
| Year: | 2023 |
| Venue: | Information Processing and Management |
| Pages: | 103336 |
| URL: | https://doi.org/10.1016/J.IPM.2023.103336 |
| DOI: | https://doi.org/10.1016/J.IPM.2023.103336 |
| DBLP: | journals/ipm/AndradeBCFV0G23 |
| BibTeX: |
@article{andrade-2023-class,
author = {Cl\'{a}udio Mois\'{e}s Valiense de Andrade and
Fabiano Bel\'{e}m and
Washington Cunha and
Celso Fran\c{c}a and
Felipe Viegas and
Leonardo Rocha and
Marcos Andr\'{e} Gon\c{c}alves},
title = {{On the class separability of contextual embeddings representations - or "The classifier does not matter when the (text) representation is so good!"}},
journal = {Information Processing and Management},
volume = {60},
number = {4},
pages = {103336},
year = {2023},
url = {https://doi.org/10.1016/J.IPM.2023.103336},
doi = {https://doi.org/10.1016/J.IPM.2023.103336}
}