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Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling

Paul, Debjit and Hedderich, Michael A. (2019):
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, [Online-Edition: https://arxiv.org/pdf/1903.12008.pdf],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Paul, Debjit and Hedderich, Michael A.
Title: Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
Language: English
Uncontrolled Keywords: AIPHES_area_a3
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Knowl­edge En­gi­neer­ing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Title: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
Date Deposited: 24 Apr 2019 10:36
Official URL: https://arxiv.org/pdf/1903.12008.pdf
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