TU Darmstadt / ULB / TUbiblio

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

Paul, Debjit ; Hedderich, Michael A. (2019)
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop.
Conference or Workshop Item, Bibliographie

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Paul, Debjit ; Hedderich, Michael A.
Type of entry: Bibliographie
Title: Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
Language: English
Date: 2019
Event Title: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
URL / URN: https://arxiv.org/pdf/1903.12008.pdf
Uncontrolled Keywords: AIPHES_area_a3
Additional Information:

to appear

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
Date Deposited: 24 Apr 2019 10:36
Last Modified: 24 Apr 2019 10:36
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details