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detecting Event-Related Tweets by Example Using Few-Shot Models

Kruspe, Anna and Kersten, Jens and Klan, Friederike (2019) detecting Event-Related Tweets by Example Using Few-Shot Models. In: 16th International Conference on Information Systems for Crisis Response and Management. ISCRAM 2019 Conference Proceedings - 16th International Conference on Information Systems for Crisis Response and Management, 19.-22. Mai 2019, Valencia, Spanien.

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Item URL in elib:https://elib.dlr.de/133257/
Document Type:Conference or Workshop Item (Speech)
Title:detecting Event-Related Tweets by Example Using Few-Shot Models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Kruspe, AnnaAnna.Kruspe (at) dlr.dehttps://orcid.org/0000-0002-2041-9453
Kersten, Jensjens.kersten (at) dlr.dehttps://orcid.org/0000-0002-4735-7360
Klan, FriederikeFriederike.Klan (at) dlr.dehttps://orcid.org/0000-0002-1856-7334
Date:2019
Journal or Publication Title:16th International Conference on Information Systems for Crisis Response and Management
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Filtering, Convolutional Neural Networks, Natural Disasters, Twitter, Social Media analysis, event detection
Event Title:ISCRAM 2019 Conference Proceedings - 16th International Conference on Information Systems for Crisis Response and Management
Event Location:Valencia, Spanien
Event Type:international Conference
Event Dates:19.-22. Mai 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Citizen Science
Institute of Data Science > Datamangagement and Analysis
Deposited By: Klan, Dr. Friederike
Deposited On:13 Jan 2020 07:48
Last Modified:13 Jan 2020 07:48

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