Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Weizhe Yang"'
Publikováno v:
IEEE Access, Vol 8, Pp 13195-13203 (2020)
The task of relation recognition identifies semantic relationships between two named entities in a sentence. In neural network based models, a convolutional layer is often conducted to extract representative local features of a sentence. The convolut
Externí odkaz:
https://doaj.org/article/82c576752a9f44af82a24dc7b728d9b6
Publikováno v:
Production and Operations Management. 32:319-334
Publikováno v:
Symmetry, Vol 13, Iss 4, p 539 (2021)
Relation extraction aims to extract semantic relationships between two specified named entities in a sentence. Because a sentence often contains several named entity pairs, a neural network is easily bewildered when learning a relation representation
Externí odkaz:
https://doaj.org/article/a36abb03219c4cbd977a3b1b2b3e5d51
Autor:
Weizhe Yang, Wen Zhang
Publikováno v:
Annals of Operations Research. 305:347-374
Advance selling with pre-orders has become a common practice in many industries. To encourage more consumers to purchasing in advance, retailers now try new forms of advance selling to allow consumers to complete their pre-orders after solving valuat
Publikováno v:
Journal of Modelling in Management.
Purpose This study aims to investigate whether the contract manufacturer (CM) should take the first-mover advantage in the end-product without supplying core components to the original equipment manufacturer (OEM) immediately, or should fully squeeze
Publikováno v:
IEEE Access, Vol 8, Pp 13195-13203 (2020)
The task of relation recognition identifies semantic relationships between two named entities in a sentence. In neural network based models, a convolutional layer is often conducted to extract representative local features of a sentence. The convolut
Publikováno v:
Symmetry, Vol 13, Iss 539, p 539 (2021)
Symmetry; Volume 13; Issue 4; Pages: 539
Symmetry; Volume 13; Issue 4; Pages: 539
Relation extraction aims to extract semantic relationships between two specified named entities in a sentence. Because a sentence often contains several named entity pairs, a neural network is easily bewildered when learning a relation representation
Publikováno v:
Annals of Operations Research.
Demand information and consumer valuation uncertainty of new products have significant impacts on both consumers’ purchasing behavior and retail operations. To address the information transparency for new products launching, this study examines the
Publikováno v:
Frontiers in Medical Science Research. 3
Jaw defect and alveolar bone absorption are the main oral problems in today’s society. In recent years, studies have found that changes in the expression of different miRNAs can affect the osteogenic effects of stem cells. With the in-depth study o
Publikováno v:
International Journal of Frontiers in Medicine. 3
Bone tissue engineering is increasingly used in the repair of maxillofacial bone defects. The application of composite materials can make up for some of the shortcomings of single materials in the past, such as insufficient strength of single materia