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20222025
most citedImproving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

95 citations · 172 across the 20 of their papers we have counts for

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5 papers · 1 filter

cs.CL2022★ 3 cited

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

Shuo Liang, Wei Wei, Xian-Ling Mao +3

Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task in sentiment analysis research, aiming to extract triplets of the aspect term, its corresponding opinion term…

cs.CL2022

HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold

Ruihan Zhang, Wei Wei, Xian-Ling Mao +2

Conventional event detection models under supervised learning settings suffer from the inability of transfer to newly-emerged event types owing to lack of sufficient annotations. A…

cs.IR2022★ 43 cited

Multi-level Contrastive Learning Framework for Sequential Recommendation

Ziyang Wang, Huoyu Liu, Wei Wei +5

Sequential recommendation (SR) aims to predict the subsequent behaviors of users by understanding their successive historical behaviors. Recently, some methods for SR are devoted t…

cs.CL2022★ 20 cited

Improving Personality Consistency in Conversation by Persona Extending

Yifan Liu, Wei Wei, Jiayi Liu +3

Endowing chatbots with a consistent personality plays a vital role for agents to deliver human-like interactions. However, existing personalized approaches commonly generate respon…

cs.IR2022★ 95 cited

Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

Ding Zou, Wei Wei, Ziyang Wang +4

Incorporating Knowledge Graphs (KG) into recommeder system has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop…