3 papers
cs.CL2026
A Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection
Ximing Wen, Rezvaneh Rezapour
Sarcasm detection, with its figurative nature, poses unique challenges for affective systems designed to perform sentiment analysis. While these systems typically perform well at i…
cs.CL2024
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification
Ximing Wen, Wenjuan Tan, Rosina O. Weber
Pretrained transformer-based Language Models (LMs) are well-known for their ability to achieve significant improvement on text classification tasks with their powerful word embeddi…
cs.CL2024
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks
Ximing Wen
Pretrained transformer-based Language Models (LMs) are well-known for their ability to achieve significant improvement on NLP tasks, but their black-box nature, which leads to a la…