Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Sheng, Jiawei"'
Autor:
Zhang, Zefeng, Sheng, Jiawei, Zhang, Chuang, Liang, Yunzhi, Zhang, Wenyuan, Wang, Siqi, Liu, Tingwen
Multimodal Entity Linking (MEL) aims to link ambiguous mentions in multimodal contexts to entities in a multimodal knowledge graph. A pivotal challenge is to fully leverage multi-element correlations between mentions and entities to bridge modality g
Externí odkaz:
http://arxiv.org/abs/2406.01934
Few-shot knowledge graph completion (FKGC) aims to query the unseen facts of a relation given its few-shot reference entity pairs. The side effect of noises due to the uncertainty of entities and triples may limit the few-shot learning, but existing
Externí odkaz:
http://arxiv.org/abs/2403.04521
Cross-domain recommendation (CDR) has been proven as a promising way to tackle the user cold-start problem, which aims to make recommendations for users in the target domain by transferring the user preference derived from the source domain. Traditio
Externí odkaz:
http://arxiv.org/abs/2401.12732
Script Event Prediction (SEP) aims to predict the subsequent event for a given event chain from a candidate list. Prior research has achieved great success by integrating external knowledge to enhance the semantics, but it is laborious to acquisite t
Externí odkaz:
http://arxiv.org/abs/2308.02103
Cross-Domain Sequential Recommendation (CDSR) aims to predict future interactions based on user's historical sequential interactions from multiple domains. Generally, a key challenge of CDSR is how to mine precise cross-domain user preference based o
Externí odkaz:
http://arxiv.org/abs/2304.03891
Autor:
Cui, Shiyao, Cao, Jiangxia, Cong, Xin, Sheng, Jiawei, Li, Quangang, Liu, Tingwen, Shi, Jinqiao
Publikováno v:
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2024
This paper studies the multimodal named entity recognition (MNER) and multimodal relation extraction (MRE), which are important for multimedia social platform analysis. The core of MNER and MRE lies in incorporating evident visual information to enha
Externí odkaz:
http://arxiv.org/abs/2304.02328
The multi-modal entity alignment (MMEA) aims to find all equivalent entity pairs between multi-modal knowledge graphs (MMKGs). Rich attributes and neighboring entities are valuable for the alignment task, but existing works ignore contextual gap prob
Externí odkaz:
http://arxiv.org/abs/2304.01563
Event Causality Identification (ECI), which aims to detect whether a causality relation exists between two given textual events, is an important task for event causality understanding. However, the ECI task ignores crucial event structure and cause-e
Externí odkaz:
http://arxiv.org/abs/2301.11621
Autor:
Li, Qian, Li, Jianxin, Wang, Lihong, Ji, Cheng, Hei, Yiming, Sheng, Jiawei, Sun, Qingyun, Xue, Shan, Xie, Pengtao
Event detection in power systems aims to identify triggers and event types, which helps relevant personnel respond to emergencies promptly and facilitates the optimization of power supply strategies. However, the limited length of short electrical re
Externí odkaz:
http://arxiv.org/abs/2211.08168
Recommender systems have been widely deployed in many real-world applications, but usually suffer from the long-standing user cold-start problem. As a promising way, Cross-Domain Recommendation (CDR) has attracted a surge of interest, which aims to t
Externí odkaz:
http://arxiv.org/abs/2203.16863