BERT Sentence Embeddings in different Machine Learning and Deep Learning Models for Author Profiling applied to Irony and Stereotype Spreaders on Twitter.
| Anthology ID: | DBLP:conf/clef/GomezP22 |
|---|---|
| Volume: | Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022. |
| Year: | 2022 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | CEUR-WS.org |
| Pages: | 2467-2474 |
| URL: | https://ceur-ws.org/Vol-3180/paper-198.pdf |
| DBLP: | conf/clef/GomezP22 |
| BibTeX: |
@inproceedings{gomez-2022-bert,
author = {Claudia G\'{o}mez and
Daniel Parres},
editor = {Guglielmo Faggioli and
Nicola Ferro and
Allan Hanbury and
Martin Potthast},
title = {{BERT Sentence Embeddings in different Machine Learning and Deep Learning Models for Author Profiling applied to Irony and Stereotype Spreaders on Twitter}},
booktitle = {{Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022}},
series = {CEUR Workshop Proceedings},
volume = {3180},
pages = {2467--2474},
publisher = {CEUR-WS.org},
year = {2022},
url = {https://ceur-ws.org/Vol-3180/paper-198.pdf}
}