Retaining learner engagement is a major challenge in online learning environments, which
is even more intensified with learning spaces increasingly built by combining resources from …

Deep learning chatbot research and development is exploding recently to offer customers in
numerous industries personalized services. However, human resources are used to create a …

In this work, we introduce back-training, an alternative to self-training for unsupervised
domain adaptation (UDA) from source to target domain. While self-training generates …

In this paper, we introduce PhishLang, an open-source, lightweight language model
specifically designed for phishing website detection through contextual analysis of the …

Student question generation (SQG) is an effective strategy for improving reading
comprehension. It helps students improve their understanding of reading materials …

Recent advances in the field of language modeling have improved the state-of-the-art in
question answering (QA) and question generation (QG). However, the development of …

Adding linguistic information (syntax or semantics) to neural machine translation (NMT) has
mostly focused on using point estimates from pre-trained models. Directly using the capacity …

Question Generation (QG), as a challenging Natural Language Processing task, aims at
generating questions based on given answers and context. Existing QG methods mainly …

As the dual task of question answering, question generation (QG) is a significant and
challenging task that aims to generate valid and fluent questions from a given paragraph …

In this paper, we propose a social robot capable of verbally interacting with children with
Autism Spectrum Disorder (ASD). This communication is meant to teach perspective-taking …