4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2022
RF: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference
Hao Wang, Yixin Cao, Yangguang Li +3
Document-level natural language inference (DOCNLI) is a new challenging task in natural language processing, aiming at judging the entailment relationship between a pair of hypothe…
cs.CL2022★ 2 cited
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification
Hao Wang, Yangguang Li, Zhen Huang +1
With the rapid development of automatic fake news detection technology, fact extraction and verification (FEVER) has been attracting more attention. The task aims to extract the mo…
cs.CL2022★ 4 cited
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
Hao Wang, Yangguang Li, Zhen Huang +3
Unsupervised sentence embedding aims to obtain the most appropriate embedding for a sentence to reflect its semantic. Contrastive learning has been attracting developing attention.…