BERT Sentence Embeddings in different Machine Learning and Deep Learning Models for Author Profiling applied to Irony and Stereotype Spreaders on Twitter.

Claudia Gómez|Daniel Parres


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} }