Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Shengbin Jia"'
Autor:
Zhe Zhang, Hongjun Gan, Chao Zhang, Shengbin Jia, Xianzheng Yu, Kejian Zhang, Xinyu Zhong, Xiaolei Zheng, Tao Shen, Le Qu, Rongjun Zhang
Publikováno v:
Energies, Vol 17, Iss 6, p 1505 (2024)
In order to improve the effect of injection–production coupling development to improve crude oil recovery in complex fault-block reservoirs, we carried out a physical simulation experiment based on a sandpack model of transforming water-driven deve
Externí odkaz:
https://doaj.org/article/98bb35579c9242a6914276e3e850108b
Publikováno v:
Journal of Marine Science and Engineering, Vol 7, Iss 2, p 28 (2019)
The possible role of air⁻sea latent heat flux (LHF) in tropical cyclone (TC) genesis over the western North Pacific (WNP) is investigated using state-of-the-art satellite and analysis datasets. The authors conducted composite analyses of several me
Externí odkaz:
https://doaj.org/article/4d7b3f3b98df401ebd0ca07f25ac50e9
Publikováno v:
Talanta. 256:124263
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:11941-11950
Knowledge graph reasoning or completion aims at inferring missing facts by reasoning about the information already present in the knowledge graph. In this work, we explore the problem of temporal knowledge graph reasoning that performs inference on t
Publikováno v:
Expert Systems with Applications. 200:116951
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783030731991
DASFAA (3)
DASFAA (3)
The relation tuple is the basic unit of the knowledge graph. Conventional relation extraction methods can only identify limited relation classes and not recognize the unseen relation types that have no pre-labeled training data. In this paper, we exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d630535183fe649be82c28069838e8
https://doi.org/10.1007/978-3-030-73200-4_38
https://doi.org/10.1007/978-3-030-73200-4_38
Publikováno v:
SocialNLP@ACL
Chinese word segmentation is necessary to provide word-level information for Chinese named entity recognition (NER) systems. However, segmentation error propagation is a challenge for Chinese NER while processing colloquial data like social media tex
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 17:1-22
Named entity relation extraction is an important subject in the field of information extraction. Although many English extractors have achieved reasonable performance, an effective system for Chinese relation extraction remains undeveloped due to the
Publikováno v:
Expert Systems with Applications. 162:113889
Knowledge graphs (KGs) have a wide range of applications, such as recommender systems, relation extraction, and intelligent question answering systems. However, existing KGs are far from complete. Knowledge graph reasoning (KGR) has been studied to c
Publikováno v:
Expert Systems with Applications. 147:113198
Deep learning is an effective method for extracting the underlying information in text. However, it performs better on closed datasets and is less effective in real-world scenarios for text classification. As the data is updated and the amount of dat