Efficient and Effective Text-Annotation through Active Learning

Authors: 
Markus Zlabinger
Type: 
Speech with proceedings
Proceedings: 
SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: 
Association for Computing Machinery
Pages: 
1456
ISBN: 
ISBN: 978-1-4503-6172-9
Year: 
2019
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

M. Zlabinger:
"Efficient and Effective Text-Annotation through Active Learning";
Vortrag: SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France; 21.07.2019 - 25.07.2019; in: "SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval", Association for Computing Machinery, New York (2019), ISBN: 978-1-4503-6172-9; S. 1456.

Last changed: 
09.01.2020 17:10:25
TU Id: 
286268
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Abstract German: 
Author List: 
M. Zlabinger