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Using Titles vs. Full-text as Source for Automated Semantic Document Annotation
15 May 2017
Lukas Galke
Florian Mai
Alan Schelten
Dennis Brunsch
A. Scherp
Re-assign community
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Papers citing
"Using Titles vs. Full-text as Source for Automated Semantic Document Annotation"
3 / 3 papers shown
Title
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets
Fabian Karl
A. Scherp
VLM
74
20
0
30 Nov 2022
Towards an Open Platform for Legal Information
Malte Ostendorff
Till Blume
Saskia Ostendorff
AILaw
30
38
0
27 May 2020
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
Lukas Galke
Florian Mai
Iacopo Vagliano
A. Scherp
39
26
0
22 Jul 2019
1