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MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale

Rücklé, Andreas ; Pfeiffer, Jonas ; Gurevych, Iryna (2020):
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale.
In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 2471-2486,
Association for Computational Linguistics, 2020 Conference on Empirical Methods in Natural Language Processing, virtual Conference, 16.-20.11.2020, ISBN 978-1-952148-60-6,
DOI: 10.18653/v1/2020.emnlp-main.194,
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2020
Creators: Rücklé, Andreas ; Pfeiffer, Jonas ; Gurevych, Iryna
Title: MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
Language: English
Title of Book: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Publisher: Association for Computational Linguistics
ISBN: 978-1-952148-60-6
Uncontrolled Keywords: UKP_p_emergencity, UKP_p_INCEpTION, 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: 2020 Conference on Empirical Methods in Natural Language Processing
Event Location: virtual Conference
Event Dates: 16.-20.11.2020
Date Deposited: 06 Oct 2020 07:08
DOI: 10.18653/v1/2020.emnlp-main.194
Official URL: https://www.aclweb.org/anthology/2020.emnlp-main.194/
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