RT Conference Proceedings
T1 I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers
A1 Pichardo Estévez, Abel
A1 Mata Vázquez, Jacinto
A1 Pachón Álvarez, Victoria
A1 El Balima Cordero, Nordin
AB 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.
PB Association for Computational Linguistics
YR 2023
FD 2023-07
LK https://hdl.handle.net/10272/24378
UL https://hdl.handle.net/10272/24378
LA eng
NO Pichardo Estevez, A., Mata Vázquez, J., Pachón Álvarez, V., & El Balima Cordero, N. (2023). I2C-Huelva at SemEval-2023 Task 9: Analysis of Intimacy in Multilingual Tweets Using Resampling Methods and Transformers. In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp. 758–762). Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.semeval-1.104
NO 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”.
DS Repositorio Institucional de la Universidad de Huelva
RD 14 jul 2026