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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

Wang, Kexin ; Reimers, Nils ; Gurevych, Iryna (2021):
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning.
In: Findings of the Association for Computational Linguistics: EMNLP 2021,
Association for Computational Linguistics, The 2021 Conference on Empirical Methods in Natural Language Processing, Online and in the Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic, 07.11.2021 - 11.11.2021, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2021
Creators: Wang, Kexin ; Reimers, Nils ; Gurevych, Iryna
Title: TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
Language: English
Title of Book: Findings of the Association for Computational Linguistics: EMNLP 2021
Publisher: Association for Computational Linguistics
Uncontrolled Keywords: UKP_p_square
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Title: The 2021 Conference on Empirical Methods in Natural Language Processing
Event Location: Online and in the Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic
Event Dates: 07.11.2021 - 11.11.2021
Date Deposited: 15 Sep 2021 08:27
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