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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.
EMNLP 2020 : Conference on Empirical Methods in Natural Language Processing. virtual Conference (16.-20.11.2020)
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
Type of entry: Bibliographie
Title: AdapterHub: A Framework for Adapting Transformers
Language: English
Date: 1 October 2020
Publisher: Association for Computational Linguistics
Book Title: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing : System Demonstrations
Event Title: EMNLP 2020 : Conference on Empirical Methods in Natural Language Processing
Event Location: virtual Conference
Event Dates: 16.-20.11.2020
DOI: 10.18653/v1/2020.emnlp-demos.7
URL / URN: https://www.aclweb.org/anthology/2020.emnlp-demos.7/
Corresponding Links:
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
Date Deposited: 23 Sep 2020 10:45
Last Modified: 19 Apr 2021 14:03
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