Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2364-1541
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling ; volume:7 ; number:1 ; day:29 ; month:1 ; year:2022 ; pages:16-29 ; date:3.2022
Data science and engineering ; 7, Heft 1 (29.1.2022), 16-29, 3.2022
- Urheber
-
Zhao, Xiang
Zeng, Weixin
Tang, Jiuyang
Li, Xinyi
Luo, Minnan
Zheng, Qinghua
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s41019-022-00178-4
- URN
-
urn:nbn:de:101:1-2022052919171893602227
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhao, Xiang
- Zeng, Weixin
- Tang, Jiuyang
- Li, Xinyi
- Luo, Minnan
- Zheng, Qinghua
- SpringerLink (Online service)
Ähnliche Objekte (12)
Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment
NEER: An unsupervised method for named entity evolution recognition
Enhancing unsupervised medical entity linking with multi-instance learning
Cascaded classifiers for confidence-based chemical named entity recognition
Knowledge graph embedding methods for entity alignment: experimental review
Entity alignment via graph neural networks: a component-level study
A survey: knowledge graph entity alignment research based on graph embedding
Unsupervised quantification of entity consistency between photos and text in real-world news
Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
Toward unsupervised outbreak detection through visual perception of new patterns
Political Alignment, Attitudes Toward Government and Tax Evasion
Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment
NEER: An unsupervised method for named entity evolution recognition
Enhancing unsupervised medical entity linking with multi-instance learning
Cascaded classifiers for confidence-based chemical named entity recognition
Knowledge graph embedding methods for entity alignment: experimental review
Entity alignment via graph neural networks: a component-level study
A survey: knowledge graph entity alignment research based on graph embedding
Unsupervised quantification of entity consistency between photos and text in real-world news
Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
Toward unsupervised outbreak detection through visual perception of new patterns
Political Alignment, Attitudes Toward Government and Tax Evasion
Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment
NEER: An unsupervised method for named entity evolution recognition
Enhancing unsupervised medical entity linking with multi-instance learning
Cascaded classifiers for confidence-based chemical named entity recognition
Knowledge graph embedding methods for entity alignment: experimental review
Entity alignment via graph neural networks: a component-level study
A survey: knowledge graph entity alignment research based on graph embedding
Unsupervised quantification of entity consistency between photos and text in real-world news
Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain
Fast Hubness-Reduced Nearest Neighbor Search for Entity Alignment in Knowledge Graphs
Toward unsupervised outbreak detection through visual perception of new patterns