8 citations · 8 across the 9 of their papers we have counts for
9 papers
ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls
Chen Lyu, Xingwei Tan, Simon Cullen +4
Synthetic dialogue generation offers a way to study conversational dynamics in sensitive domains where real data are difficult to access, release, or annotate. The underlying abuse…
The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance
Csaba Kiss, Roland Molontay, Gabriele Pergola
Distinguishing causal adverse drug events (ADEs) from spurious correlations remains a central challenge in pharmacovigilance. The InferBERT framework integrates transformer models…
When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
Anwar Alajmi, Gabriele Pergola
Online sexism increasingly appears in subtle, context-dependent forms that evade traditional detection methods. Its interpretation often depends on overlapping linguistic, psycholo…
IntrEx: A Dataset for Modeling Engagement in Educational Conversations
Xingwei Tan, Mahathi Parvatham, Chiara Gambi +1
Engagement and motivation are crucial for second-language acquisition, yet maintaining learner interest in educational conversations remains a challenge. While prior research has e…
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
Sahrish Khan, Arshad Jhumka, Gabriele Pergola
The detection of sexism in online content remains an open problem, as harmful language disproportionately affects women and marginalized groups. While automated systems for sexism…
SafeSpeech: A Comprehensive and Interactive Tool for Analysing Sexist and Abusive Language in Conversations
Xingwei Tan, Chen Lyu, Hafiz Muhammad Umer +7
Detecting toxic language including sexism, harassment and abusive behaviour, remains a critical challenge, particularly in its subtle and context-dependent forms. Existing approach…
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score
Chen Lyu, Gabriele Pergola
Biomedical literature is often written in highly specialized language, posing significant comprehension challenges for non-experts. Automatic text simplification (ATS) offers a sol…
Society of Medical Simplifiers
Chen Lyu, Gabriele Pergola
Medical text simplification is crucial for making complex biomedical literature more accessible to non-experts. Traditional methods struggle with the specialized terms and jargon o…
Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance
Ethar Alzaid, Gabriele Pergola, Harriet Evans +2
Pathology reports are rich in clinical and pathological details but are often presented in free-text format. The unstructured nature of these reports presents a significant challen…