most citedSNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction

Zhongwu Chen, Chengjin Xu, Fenglong Su +2

Temporal relation prediction in incomplete temporal knowledge graphs (TKGs) is a popular temporal knowledge graph completion (TKGC) problem in both transductive and inductive setti…

cs.AI2023★ 1 cited

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

Zhongwu Chen, Chengjin Xu, Fenglong Su +2

In the last few years, the solution to Knowledge Graph (KG) completion via learning embeddings of entities and relations has attracted a surge of interest. Temporal KGs(TKGs) exten…

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.…