3 citations · 10 across the 10 of their papers we have counts for
12 papers
T5 for Hate Speech, Augmented Data and Ensemble
Tosin Adewumi, Sana Sabah Sabry, Nosheen Abid +2
We conduct relatively extensive investigations of automatic hate speech (HS) detection using different state-of-the-art (SoTA) baselines over 11 subtasks of 6 different datasets. O…
Deep Neural Network approaches for Analysing Videos of Music Performances
Foteini Simistira Liwicki, Richa Upadhyay, Prakash Chandra Chhipa +4
This paper presents a framework to automate the labelling process for gestures in musical performance videos with a 3D Convolutional Neural Network (CNN). While this idea was propo…
AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages
Tosin Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo +17
Dialogue generation is an important NLP task fraught with many challenges. The challenges become more daunting for low-resource African languages. To enable the creation of dialogu…
Vector Representations of Idioms in Conversational Systems
Tosin Adewumi, Foteini Liwicki, Marcus Liwicki
We demonstrate, in this study, that an open-domain conversational system trained on idioms or figurative language generates more fitting responses to prompts containing idioms. Idi…
ML_LTU at SemEval-2022 Task 4: T5 Towards Identifying Patronizing and Condescending Language
Tosin Adewumi, Lama Alkhaled, Hamam Mokayed +2
This paper describes the system used by the Machine Learning Group of LTU in subtask 1 of the SemEval-2022 Task 4: Patronizing and Condescending Language (PCL) Detection. Our syste…
State-of-the-art in Open-domain Conversational AI: A Survey
Tosin Adewumi, Foteini Liwicki, Marcus Liwicki
We survey SoTA open-domain conversational AI models with the purpose of presenting the prevailing challenges that still exist to spur future research. In addition, we provide stati…