@conference{10272/24378,
year = {2023},
month = {7},
url = {https://hdl.handle.net/10272/24378},
abstract = {Nowadays, intimacy is a fundamental aspect of how we relate to other people in social settings. The most frequent way in which we can determine a high level of intimacy is in the use of certain emoticons, curse words, verbs, etc. This paper presents the approach developed to solve SemEval 2023 task 9: Multiligual Tweet Intimacy Analysis. To address the task, a transfer learning approach was conducted by fine tuning various pre-trained languagemodels. Since the dataset supplied by the organizer was highly imbalanced, our main strategy to obtain high prediction values was the implementation of different oversampling and undersampling techniques on the training set. Our final submission achieved an overall Pearson’s r of 0.497.},
organization = {This paper is part of the I+D+i Project titled “Conspiracy Theories and hate speech online: Comparison of patterns in narratives and social networks about COVID-19, immigrants, refugees and LGBTI people [NON-CONSPIRA-HATE!]”,
PID2021-123983OB-I00, funded by MCIN/AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”.},
publisher = {Association for Computational Linguistics},
title = {I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers},
doi = {10.18653/v1/2023.semeval-1.104},
author = {Pichardo Estévez, Abel and Mata Vázquez, Jacinto and Pachón Álvarez, Victoria and El Balima Cordero, Nordin},
}