no code implementations • ALTA 2020 • Segun Taofeek Aroyehun, Alexander Gelbukh
This paper describes our submission to the ALTA-2020 shared task on assessing behaviour from short text, We evaluate the effectiveness of traditional machine learning and recent transformers pre-trained models.
no code implementations • 21 Apr 2023 • Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler, Nikolas Haimerl, Anna Di Natale, David Garcia
We present LEIA, a model for emotion identification in text that has been trained on a dataset of more than 6 million posts with self-annotated emotion labels for happiness, affection, sadness, anger, and fear.
1 code implementation • 7 Nov 2020 • Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh
We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020.
no code implementations • SEMEVAL 2020 • Jason Angel, Segun Taofeek Aroyehun, Antonio Tamayo, Alexander Gelbukh
We analyze our best model capabilities and perform error analysis to expose important difficulties for classifying sentiment in a code-switching setting.
no code implementations • WS 2019 • Segun Taofeek Aroyehun, Alex Gelbukh, er
This paper details our approach to the task of detecting reportage of adverse drug reaction in tweets as part of the 2019 social media mining for healthcare applications shared task.
no code implementations • WS 2018 • Segun Taofeek Aroyehun, Alex Gelbukh, er
We describe our submissions to the Third Social Media Mining for Health Applications Shared Task.
no code implementations • COLING 2018 • Segun Taofeek Aroyehun, Alex Gelbukh, er
On this task, we investigate the efficacy of deep neural network models of varying complexity.
no code implementations • WS 2018 • Segun Taofeek Aroyehun, Jason Angel, Daniel Alej P{\'e}rez Alvarez, ro, Alex Gelbukh, er
We describe the systems of NLP-CIC team that participated in the Complex Word Identification (CWI) 2018 shared task.