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4 papers
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation Representation
Shuyi Li, Shaojuan Wu, Xiaowang Zhang +1
Recognizing relations between two words is a fundamental task with the broad applications. Different from extracting relations from text, it is difficult to identify relations amon…
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
Jiarui Zhang, Shaojuan Wu, Xiaowang Zhang +1
Stance detection classifies stance relations (namely, Favor, Against, or Neither) between comments and targets. Pretrained language models (PLMs) are widely used to mine the stance…
Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification
Chunliu Dou, Shaojuan Wu, Xiaowang Zhang +2
The relation classification is to identify semantic relations between two entities in a given text. While existing models perform well for classifying inverse relations with large…
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension
Linjuan Wu, Shaojuan Wu, Xiaowang Zhang +4
Multilingual pre-trained models are able to zero-shot transfer knowledge from rich-resource to low-resource languages in machine reading comprehension (MRC). However, inherent ling…