Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Wenti Huang"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7565-7575 (2024)
Abstract Prompt-tuning has emerged as a promising approach for improving the performance of classification tasks by converting them into masked language modeling problems through the insertion of text templates. Despite its considerable success, appl
Externí odkaz:
https://doaj.org/article/b47ca11454b34d428169cd975c0cb625
Publikováno v:
Information, Vol 15, Iss 7, p 382 (2024)
Distantly supervised relation extraction (DSRE), first used to address the limitations of manually annotated data via automatically annotating the data with triplet facts, is prone to issues such as mislabeled annotations due to the interference of n
Externí odkaz:
https://doaj.org/article/257d90e715954afcb8afb8e675d94a8c
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1344 (2022)
Relation extraction tasks aim to predict potential relations between entities in a target sentence. As entity mentions have ambiguity in sentences, some important contextual information can guide the semantic representation of entity mentions to impr
Externí odkaz:
https://doaj.org/article/bb5b81e147a14286b1eb9b2bfbd056ab
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7734 (2021)
Distantly supervised relation extraction is the most popular technique for identifying semantic relation between two entities. Most prior models only focus on the supervision information present in training sentences. In addition to training sentence
Externí odkaz:
https://doaj.org/article/c7a349c5486c433f92090e1f7095d682
Autor:
Jun Long, Ye Wang, Xiangxiang Wei, Zhen Ding, Qianqian Qi, Fang Xie, Zheman Qian, Wenti Huang
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1377 (2021)
Relation classification is an important task in the field of natural language processing, and it is one of the important steps in constructing a knowledge graph, which can greatly reduce the cost of constructing a knowledge graph. The Graph Convoluti
Externí odkaz:
https://doaj.org/article/c2d6540cc87147869315bcac1428f65c
Publikováno v:
Applied Sciences, Vol 10, Iss 17, p 5744 (2020)
There is a growing interest in the security of underwater communication with the increasing demand for undersea exploration. In view of the complex composition and special optical properties of seawater, this paper deals with a performance analysis f
Externí odkaz:
https://doaj.org/article/93fdc2b785a2420d946ee9f2f797b511
Publikováno v:
New Journal of Physics, Vol 22, Iss 8, p 083073 (2020)
The practical security of a continuous-variable quantum key distribution (CVQKD) system is compromised by various attack strategies. The existing countermeasures against these attacks are to exploit different real-time monitoring modules to prevent d
Externí odkaz:
https://doaj.org/article/45262501856e45779daca32acd095e50
Publikováno v:
2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3a96ab7cb1cfb2aca1e3a7c4a5fd068
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00119
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00119
Publikováno v:
Neural Processing Letters. 54:2549-2569
Privacy-preserving cross-modal retrieval is a significant problem in the area of multimedia analysis. As the amount of data is exploding, cross-modal data analysis and retrieval is often realized on cloud computing environment. Therefore, the privacy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f902465651d413d5efc0bd853ebd84
https://doi.org/10.1007/s11063-021-10447-4
https://doi.org/10.1007/s11063-021-10447-4
Publikováno v:
Neurocomputing. 412:262-275
In recent years, Hashing has become a popular technique used to support large-scale image retrieval, due to its significantly reduced storage, high search speed and capability of mapping high dimensional original features into compact similarity-pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b34d7e86505d7cfc412bf80fbe48a6d
https://doi.org/10.1016/j.neucom.2020.06.036
https://doi.org/10.1016/j.neucom.2020.06.036