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pro vyhledávání: '"Hu, Wenxin"'
When completing knowledge-intensive tasks, humans sometimes need not just an answer but also a corresponding reference passage for auxiliary reading. Previous methods required obtaining pre-segmented article chunks through additional retrieval models
Externí odkaz:
http://arxiv.org/abs/2402.17010
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 received increasing attention, and some studies have used methods such
Externí odkaz:
http://arxiv.org/abs/2306.14806
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 sole factor in aggregating group preferences. However, they neglect t
Externí odkaz:
http://arxiv.org/abs/2304.08851
Sequential Recommendation is a prominent topic in current research, which uses user behavior sequence as an input to predict future behavior. By assessing the correlation strength of historical behavior through the dot product, the model based on the
Externí odkaz:
http://arxiv.org/abs/2211.01297
Autor:
Yu, Zemin1 (AUTHOR) zeminyu_1700@brire.com, Hu, Wenxin1 (AUTHOR) brirehuwenxin@126.com, Chen, Zhiqiang1 (AUTHOR) stonesir@shu.edu.cn, Shi, Lei1 (AUTHOR), Yang, Lei2,3 (AUTHOR) brirehuwenxin@126.com, Jin, Jianfeng2,3 (AUTHOR) zhangel@atm.neu.edu.cn, Zhang, Erlin2,3 (AUTHOR)
Publikováno v:
Materials (1996-1944). Sep2024, Vol. 17 Issue 17, p4263. 14p.
Document-level relation extraction (RE) aims to identify relations between entities across multiple sentences. Most previous methods focused on document-level RE under full supervision. However, in real-world scenario, it is expensive and difficult t
Externí odkaz:
http://arxiv.org/abs/2210.08709
Sequential recommendations have made great strides in accurately predicting the future behavior of users. However, seeking accuracy alone may bring side effects such as unfair and overspecialized recommendation results. In this work, we focus on the
Externí odkaz:
http://arxiv.org/abs/2204.10796
Publikováno v:
In Materials Today Sustainability September 2024 27
Autor:
Wang, Yun, Zhang, Shufang, Hu, Wenxin, Shen, Youliang, Chen, Anping, Le, Jinyao, Zhao, Rongfang, Zhang, Rongfa
Publikováno v:
In Materials Today Communications August 2024 40
Publikováno v:
In Applied Soft Computing December 2024 167 Part A