Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin for a login account.
This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.de. Get Web based bibliography management system at SourceForge.net. Fast, secure and Free Open Source software downloads
 [BibTeX] [RIS]
Automatic identification of suicide notes with a transformer-based deep learning model
Type of publication: Article
Citation: zhang:2021
Journal: Internet Interventions
Year: 2021
Pages: 100422
URL: https://www.sciencedirect.com/...
DOI: 10.1016/j.invent.2021.100422
Keywords:
Authors Zhang, T.
Schoene, A
Ananiadou, S.
Added by: [PRT]
Total mark: 0
Attachments
    Notes
      Topics