A transfer learning model with multi-source domains for biomedical event trigger extraction
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2164
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A transfer learning model with multi-source domains for biomedical event trigger extraction ; volume:22 ; number:1 ; day:7 ; month:1 ; year:2021 ; pages:1-18 ; date:12.2021
BMC genomics ; 22, Heft 1 (7.1.2021), 1-18, 12.2021
- Urheber
-
Chen, Yifei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12864-020-07315-1
- URN
-
urn:nbn:de:101:1-2021020800471806294111
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 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
- Chen, Yifei
- SpringerLink (Online service)
Ähnliche Objekte (12)
Multi-source, multilingual information extraction and summarization
Identification of concepts bridging diverse biomedical domains
Multisource representation learning for pediatric knowledge extraction from electronic health records
Robust relationship extraction in the biomedical domain
Introducing meta-services for biomedical information extraction
Combining joint models for biomedical event extraction
Biomedical event trigger detection by dependency-based word embedding
Unsupervised inference of implicit biomedical events using context triggers
Multiple-level biomedical event trigger recognition with transfer learning
Engineered shark antibody domains for biotechnological and biomedical applications
Broad-coverage biomedical relation extraction with SemRep
Biomedical event extraction using pre-trained SciBERT
Multi-source, multilingual information extraction and summarization
Identification of concepts bridging diverse biomedical domains
Multisource representation learning for pediatric knowledge extraction from electronic health records
Robust relationship extraction in the biomedical domain
Introducing meta-services for biomedical information extraction
Combining joint models for biomedical event extraction
Biomedical event trigger detection by dependency-based word embedding
Unsupervised inference of implicit biomedical events using context triggers
Multiple-level biomedical event trigger recognition with transfer learning
Engineered shark antibody domains for biotechnological and biomedical applications
Broad-coverage biomedical relation extraction with SemRep
Biomedical event extraction using pre-trained SciBERT
Multi-source, multilingual information extraction and summarization
Identification of concepts bridging diverse biomedical domains
Multisource representation learning for pediatric knowledge extraction from electronic health records
Robust relationship extraction in the biomedical domain
Introducing meta-services for biomedical information extraction
Combining joint models for biomedical event extraction
Biomedical event trigger detection by dependency-based word embedding
Unsupervised inference of implicit biomedical events using context triggers
Multiple-level biomedical event trigger recognition with transfer learning
Engineered shark antibody domains for biotechnological and biomedical applications
Broad-coverage biomedical relation extraction with SemRep