Segun Taofeek Aroyehun

According to our database, Segun Taofeek Aroyehun authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A multitask learning framework for leveraging subjectivity of annotators to identify misogyny.

Jason Angel, Segun Taofeek Aroyehun, Grigori Sidorov, Alexander F. Gelbukh

CoRR, 2024

Computational analysis of US Congressional speeches reveals a shift from evidence to intuition.

Segun Taofeek Aroyehun, Almog Simchon, Fabio Carrella, Jana Lasser, Stephan Lewandowsky, David García

CoRR, 2024

2023

LEIA: Linguistic Embeddings for the Identification of Affect.

Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler, Nikolas Haimerl, Anna Di Natale, David García

EPJ Data Sci., December, 2023

Collective moderation of hate, toxicity, and extremity in online discussions.

Jana Lasser, Alina Herderich, Joshua Garland, Segun Taofeek Aroyehun, David García, Mirta Galesic

CoRR, 2023

Multilingual Sexism Identification Using Contrastive Learning.

Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

New conceptions of truth foster misinformation in online public political discourse.

Jana Lasser, Segun Taofeek Aroyehun, Fabio Carrella, Almog Simchon, David García, Stephan Lewandowsky

CoRR, 2022

Social media sharing by political elites: An asymmetric American exceptionalism.

Jana Lasser, Segun Taofeek Aroyehun, Almog Simchon, Fabio Carrella, David García, Stephan Lewandowsky

CoRR, 2022

TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection.

Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

2021

Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification.

Segun Taofeek Aroyehun, Jason Angel, Navonil Majumder, Alexander F. Gelbukh, Amir Hussain

Neurocomputing, 2021

Evaluation of Intermediate Pre-training for the Detection of Offensive Language.

Segun Taofeek Aroyehun, Alexander F. Gelbukh

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

2020

NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings.

Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh

CoRR, 2020

NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier.

Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander F. Gelbukh

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model.

Segun Taofeek Aroyehun, Alexander F. Gelbukh

Proceedings of the Working Notes of FIRE 2020, 2020

NLP-CIC @ PRELEARN: Mastering Prerequisites Relations, from Handcrafted Features to Embeddings (short paper).

Jason Angel, Segun Taofeek Aroyehun

Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), 2020

2019

Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings.

Segun Taofeek Aroyehun, Alexander F. Gelbukh

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

2018

Automatic Identification of Drugs and Adverse Drug Reaction Related Tweets.

Segun Taofeek Aroyehun, Alexander F. Gelbukh

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling.

Segun Taofeek Aroyehun, Alexander F. Gelbukh

Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying, 2018

Complex Word Identification: Convolutional Neural Network vs. Feature Engineering.

Segun Taofeek Aroyehun, Jason Angel, Daniel Alejandro Pérez Alvarez, Alexander F. Gelbukh

Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018