Segun Taofeek Aroyehun
Segun Taofeek Aroyehun
University of Konstanz
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Cited by
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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
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
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
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
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
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
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
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
Nlp-cic@ prelearn: Mastering prerequisites relations, from handcrafted features to embeddings
J Angel, ST Aroyehun, A Gelbukh
arXiv preprint arXiv:2011.03760, 2020
Evaluation of Intermediate Pre-training for the Detection of Offensive Language.
ST Aroyehun, AF Gelbukh
IberLEF@ SEPLN, 313-320, 2021
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
NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model.
ST Aroyehun, AF Gelbukh
FIRE (Working Notes), 331-335, 2020
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
Automatically predicting judgement dimensions of human behaviour
ST Aroyehun, A Gelbukh
Proceedings of the 18th Annual Workshop of the Australasian Language …, 2020
Multilingual Sexism Identification Using Contrastive Learning.
J Angel, ST Aroyehun, AF Gelbukh
CLEF (Working Notes), 855-861, 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
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
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
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
The'Truth Contagion'Effect in the US Political Online Debate
F Carrella, ST Aroyehun, J Lasser, A Simchon, D Garcia, S Lewandowsky
OSF, 2023
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