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Segun Taofeek Aroyehun
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2020 – today
- 2024
- [i8]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 abs/2405.07323 (2024) - [i7]Jason Angel, Segun Taofeek Aroyehun, Grigori Sidorov, Alexander F. Gelbukh:
A multitask learning framework for leveraging subjectivity of annotators to identify misogyny. CoRR abs/2406.15869 (2024) - 2023
- [j2]Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler
LEIA: Linguistic Embeddings for the Identification of Affect. EPJ Data Sci. 12(1): 52 (2023) - [c10]Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Multilingual Sexism Identification Using Contrastive Learning. CLEF (Working Notes) 2023: 855-861 - [i6]Jana Lasser
Collective moderation of hate, toxicity, and extremity in online discussions. CoRR abs/2303.00357 (2023) - [i5]Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler
LEIA: Linguistic Embeddings for the Identification of Affect. CoRR abs/2304.10973 (2023) - 2022
- [c9]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: 951-955 - [i4]Jana Lasser
Social media sharing by political elites: An asymmetric American exceptionalism. CoRR abs/2207.06313 (2022) - [i3]Jana Lasser
New conceptions of truth foster misinformation in online public political discourse. CoRR abs/2208.10814 (2022) - 2021
- [j1]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: 421-431 (2021) - [c8]Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Evaluation of Intermediate Pre-training for the Detection of Offensive Language. IberLEF@SEPLN 2021: 313-320 - 2020
- [c7]Jason Angel, Segun Taofeek Aroyehun:
NLP-CIC @ PRELEARN: Mastering Prerequisites Relations, from Handcrafted Features to Embeddings (short paper). EVALITA 2020 - [c6]Segun Taofeek Aroyehun, Alexander F. Gelbukh:
NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model. FIRE (Working Notes) 2020: 331-335 - [c5]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: 957-962 - [i2]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 abs/2009.03397 (2020) - [i1]Jason Angel, Segun Taofeek Aroyehun, Alexander F. Gelbukh:
NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings. CoRR abs/2011.03760 (2020)
2010 – 2019
- 2019
- [c4]Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings. SMM4H@ACL 2019: 133-135 - 2018
- [c3]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: 322-327 - [c2]Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling. TRAC@COLING 2018 2018: 90-97 - [c1]Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Automatic Identification of Drugs and Adverse Drug Reaction Related Tweets. SMM4H@EMNLP 2018: 54-55
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