10 citations · 14 across the 13 of their papers we have counts for
3 papers · 1 filter
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation
Jialin Yu, Alexandra I. Cristea, Anoushka Harit +4
This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequ…
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
Jialin Yu, Alexandra I. Cristea, Anoushka Harit +4
XAI with natural language processing aims to produce human-readable explanations as evidence for AI decision-making, which addresses explainability and transparency. However, from…
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
Jialin Yu, Laila Alrajhi, Anoushka Harit +3
Massive Open Online Courses (MOOCs) have become a popular choice for e-learning thanks to their great flexibility. However, due to large numbers of learners and their diverse backg…