Segun Taofeek Aroyehun

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Network

Top Venues

TRAC@COLING 2018

Publications

Segun Taofeek Aroyehun, Almog Simchon, Fabio Carrella, Jana Lasser, Stephan Lewandowsky, David García
Computational analysis of US Congressional speeches reveals a shift from evidence to intuition. CoRR (2024)
Jason Angel, Segun Taofeek Aroyehun, Grigori Sidorov, Alexander F. Gelbukh
A multitask learning framework for leveraging subjectivity of annotators to identify misogyny. CoRR (2024)
Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler, Nikolas Haimerl, Anna Di Natale, David García
LEIA: Linguistic Embeddings for the Identification of Affect. EPJ Data Sci. 12 (1) (2023)
Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler, Nikolas Haimerl, Anna Di Natale, David Garcia
LEIA: Linguistic Embeddings for the Identification of Affect. CoRR (2023)
Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh
Multilingual Sexism Identification Using Contrastive Learning. CLEF (Working Notes) (2023)
Jana Lasser, Alina Herderich, Joshua Garland, Segun Taofeek Aroyehun, David García, Mirta Galesic
Collective moderation of hate, toxicity, and extremity in online discussions. CoRR (2023)
Jana Lasser, Segun Taofeek Aroyehun, Almog Simchon, Fabio Carrella, David García, Stephan Lewandowsky
Social media sharing by political elites: An asymmetric American exceptionalism. CoRR (2022)
Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh
TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection. SemEval@NAACL (2022)
Jana Lasser, Segun Taofeek Aroyehun, Fabio Carrella, Almog Simchon, David García, Stephan Lewandowsky
New conceptions of truth foster misinformation in online public political discourse. CoRR (2022)
Segun Taofeek Aroyehun, Alexander F. Gelbukh
Evaluation of Intermediate Pre-training for the Detection of Offensive Language. IberLEF@SEPLN (2021)
Segun Taofeek Aroyehun, Jason Angel, Navonil Majumder, Alexander F. Gelbukh, Amir Hussain
Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification. Neurocomputing 464 (2021)
Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander F. Gelbukh
NLP-CIC at SemEval-2020 Task 9: Analysing Sentiment in Code-switching Language Using a Simple Deep-learning Classifier. SemEval@COLING (2020)
Segun Taofeek Aroyehun, Alexander F. Gelbukh
NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model. FIRE (Working Notes) (2020)
Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh
NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings. CoRR (2020)
Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander F. Gelbukh
NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier. CoRR (2020)
Jason Angel, Segun Taofeek Aroyehun
NLP-CIC @ PRELEARN: Mastering Prerequisites Relations, from Handcrafted Features to Embeddings (short paper). EVALITA (2020)
Segun Taofeek Aroyehun, Alexander F. Gelbukh
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings. SMM4H@ACL (2019)
Segun Taofeek Aroyehun, Alexander F. Gelbukh
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling. TRAC@COLING 2018 (2018)
Segun Taofeek Aroyehun, Alexander F. Gelbukh
Automatic Identification of Drugs and Adverse Drug Reaction Related Tweets. SMM4H@EMNLP (2018)
Segun Taofeek Aroyehun, Jason Angel, Daniel Alejandro Pérez Alvarez, Alexander F. Gelbukh
Complex Word Identification: Convolutional Neural Network vs. Feature Engineering. BEA@NAACL-HLT (2018)