40 citations · 101 across the 19 of their papers we have counts for
4 papers · 1 filter
Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification
Mingwen Dong, Christos Christodoulopoulos, Sheng-Min Shih +1
Accurate evidence retrieval is essential for automated fact checking. Little previous research has focused on the differences between true and false claims and how they affect evid…
Contrastive Document Representation Learning with Graph Attention Networks
Peng Xu, Xinchi Chen, Xiaofei Ma +2
Recent progress in pretrained Transformer-based language models has shown great success in learning contextual representation of text. However, due to the quadratic self-attention…
Virtual Augmentation Supported Contrastive Learning of Sentence Representations
Dejiao Zhang, Wei Xiao, Henghui Zhu +2
Despite profound successes, contrastive representation learning relies on carefully designed data augmentations using domain specific knowledge. This challenge is magnified in natu…
Contrastive Fine-tuning Improves Robustness for Neural Rankers
Xiaofei Ma, Cicero Nogueira dos Santos, Andrew O. Arnold
The performance of state-of-the-art neural rankers can deteriorate substantially when exposed to noisy inputs or applied to a new domain. In this paper, we present a novel method f…