Aggression detection in social media: Using deep neural networks, data augmentation, and pseudo labeling ST Aroyehun, A Gelbukh Proceedings of the first workshop on trolling, aggression and cyberbullying …, 2018 | 189 | 2018 |
Social media sharing of low-quality news sources by political elites J Lasser, ST Aroyehun, A Simchon, F Carrella, D Garcia, S Lewandowsky PNAS nexus 1 (4), pgac186, 2022 | 33 | 2022 |
Complex word identification: Convolutional neural network vs. feature engineering ST Aroyehun, J Angel, DAP Alvarez, A Gelbukh Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018 | 28 | 2018 |
From alternative conceptions of honesty to alternative facts in communications by US politicians J Lasser, ST Aroyehun, F Carrella, A Simchon, D Garcia, S Lewandowsky Nature human behaviour 7 (12), 2140-2151, 2023 | 23 | 2023 |
NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier J Angel, ST Aroyehun, A Tamayo, A Gelbukh arXiv preprint arXiv:2009.03397, 2020 | 12 | 2020 |
Detection of adverse drug reaction in tweets using a combination of heterogeneous word embeddings ST Aroyehun, A Gelbukh Proceedings of the fourth social media mining for health applications …, 2019 | 11 | 2019 |
Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification ST Aroyehun, J Angel, N Majumder, A Gelbukh, A Hussain Neurocomputing 464, 421-431, 2021 | 10 | 2021 |
Nlp-cic@ prelearn: Mastering prerequisites relations, from handcrafted features to embeddings J Angel, ST Aroyehun, A Gelbukh arXiv preprint arXiv:2011.03760, 2020 | 10 | 2020 |
Social media sharing by political elites: An asymmetric American exceptionalism J Lasser, ST Aroyehun, A Simchon, F Carrella, D Garcia, S Lewandowsky arXiv preprint arXiv:2207.06313, 2022 | 8 | 2022 |
Evaluation of Intermediate Pre-training for the Detection of Offensive Language. ST Aroyehun, AF Gelbukh IberLEF@ SEPLN, 313-320, 2021 | 8 | 2021 |
Multilingual Sexism Identification Using Contrastive Learning. J Angel, ST Aroyehun, AF Gelbukh CLEF (Working Notes), 855-861, 2023 | 7 | 2023 |
Automatic identification of drugs and adverse drug reaction related tweets ST Aroyehun, A Gelbukh Proceedings of the 2018 EMNLP workshop SMM4H: the 3rd social media mining …, 2018 | 5 | 2018 |
Collective moderation of hate, toxicity, and extremity in online discussions J Lasser, A Herderich, J Garland, ST Aroyehun, D Garcia, M Galesic arXiv preprint arXiv:2303.00357, 2023 | 4 | 2023 |
NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model. ST Aroyehun, AF Gelbukh FIRE (Working Notes), 331-335, 2020 | 4 | 2020 |
LEIA: Linguistic Embeddings for the Identification of Affect ST Aroyehun, L Malik, H Metzler, N Haimerl, A Di Natale, D Garcia EPJ Data Science 12 (1), 12, 2023 | 3 | 2023 |
TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection J Angel, S Aroyehun, A Gelbukh Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022 | 3 | 2022 |
Automatically predicting judgement dimensions of human behaviour ST Aroyehun, A Gelbukh Proceedings of the 18th Annual Workshop of the Australasian Language …, 2020 | 3 | 2020 |
Is it written in the stars? Studying zodiac signs and horoscopes as cultural phenomena A Di Natale, H Metzler, E Fraxanet, S Aroyehun, J Lasser, A Herderich, ... CSS Lab Holiday Paper Series, 2022 | 2 | 2022 |
A multitask learning framework for leveraging subjectivity of annotators to identify misogyny J Angel, ST Aroyehun, G Sidorov, A Gelbukh arXiv preprint arXiv:2406.15869, 2024 | | 2024 |
Computational analysis of US Congressional speeches reveals a shift from evidence to intuition ST Aroyehun, A Simchon, F Carrella, J Lasser, S Lewandowsky, D Garcia arXiv preprint arXiv:2405.07323, 2024 | | 2024 |