TU Darmstadt / ULB / TUbiblio

AdapterHub: A Framework for Adapting Transformers

Pfeiffer, Jonas ; Rücklé, Andreas ; Poth, Clifton ; Kamath, Aishwarya ; Vulić, Ivan ; Ruder, Sebastian ; Cho, Kyunghyun ; Gurevych, Iryna (2020):
AdapterHub: A Framework for Adapting Transformers.
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing : System Demonstrations, pp. 46-54,
Association for Computational Linguistics, EMNLP 2020 : Conference on Empirical Methods in Natural Language Processing, virtual Conference, 16.-20.11.2020, ISBN 978-1-952148-62-0,
DOI: 10.18653/v1/2020.emnlp-demos.7,
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Pfeiffer, Jonas ; Rücklé, Andreas ; Poth, Clifton ; Kamath, Aishwarya ; Vulić, Ivan ; Ruder, Sebastian ; Cho, Kyunghyun ; Gurevych, Iryna
Title: AdapterHub: A Framework for Adapting Transformers
Language: English
Title of Book: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing : System Demonstrations
Publisher: Association for Computational Linguistics
ISBN: 978-1-952148-62-0
Uncontrolled Keywords: UKP_p_FAMULUS, emergenCITY, emergenCITY_INF
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
TU-Projects: HMWK|III L6-519/03/05.001-(0016)|emergenCity TP Bock
Event Title: EMNLP 2020 : Conference on Empirical Methods in Natural Language Processing
Event Location: virtual Conference
Event Dates: 16.-20.11.2020
Date Deposited: 23 Sep 2020 10:45
DOI: 10.18653/v1/2020.emnlp-demos.7
Official URL: https://www.aclweb.org/anthology/2020.emnlp-demos.7/
Corresponding Links:
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