113 citations · 368 across the 39 of their papers we have counts for
11 papers · 1 filter
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
Jun Wang, Abhir Bhalerao, Terry Yin +2
Radiology report generation (RRG) has gained increasing research attention because of its huge potential to mitigate medical resource shortages and aid the process of disease decis…
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
Zhaoyue Sun, Jiazheng Li, Gabriele Pergola +5
The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions. Doing so may in turn prevent or reduce the harm to patients and ultimatel…
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation
Junru Lu, Xingwei Tan, Gabriele Pergola +2
Human reading comprehension often requires reasoning of event semantic relations in narratives, represented by Event-centric Question-Answering (QA). To address event-centric QA, w…
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
Yuanhang Yang, Shiyi Qi, Chuanyi Liu +3
Transformer-based models have achieved great success on sentence pair modeling tasks, such as answer selection and natural language inference (NLI). These models generally perform…
Addressing Token Uniformity in Transformers via Singular Value Transformation
Hanqi Yan, Lin Gui, Wenjie Li +1
Token uniformity is commonly observed in transformer-based models, in which different tokens share a large proportion of similar information after going through stacked multiple se…
PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence
John Dougrez-Lewis, Elena Kochkina, M. Arana-Catania +2
Work on social media rumour verification utilises signals from posts, their propagation and users involved. Other lines of work target identifying and fact-checking claims based on…
Cross-modal Prototype Driven Network for Radiology Report Generation
Jun Wang, Abhir Bhalerao, Yulan He
Radiology report generation (RRG) aims to describe automatically a radiology image with human-like language and could potentially support the work of radiologists, reducing the bur…
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media
Lixing Zhu, Zheng Fang, Gabriele Pergola +2
Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated dat…
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators
Rilwan A. Adewoyin, Ritabrata Dutta, Yulan He
In this paper, we study the task of improving the cohesion and coherence of long-form text generated by language models. To this end, we propose RSTGen, a framework that utilises R…
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga +3
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinforma…
Hierarchical Interpretation of Neural Text Classification
Hanqi Yan, Lin Gui, Yulan He
Recent years have witnessed increasing interests in developing interpretable models in Natural Language Processing (NLP). Most existing models aim at identifying input features suc…