2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2023
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
Ye Wang, Huazheng Pan, Tao Zhang +2
The goal of document-level relation extraction (RE) is to identify relations between entities that span multiple sentences. Recently, incomplete labeling in document-level RE has r…
cs.IR2023
A Personality-Guided Preference Aggregator for Ephemeral Group Recommendation
Guangze Ye, Wen Wu, Liye Shi +3
Ephemeral group recommendation (EGR) aims to suggest items for a group of users who come together for the first time. Existing work typically consider individual preferences as the…
cs.CL2022★ 2 cited
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling
Ye Wang, Xinxin Liu, Wenxin Hu +1
Document-level relation extraction (RE) aims to identify relations between entities across multiple sentences. Most previous methods focused on document-level RE under full supervi…