Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval-Reference-Cited by-同舟云学术

Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval

Published:2023 Issue: Volume: Page:3-17
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Abdollah Pour Mohammad Mahdi,Farinneya Parsa,Toroghi Armin,Korikov Anton,Pesaranghader Ali,Sajed Touqir,Bharadwaj Manasa,Mavrin Borislav,Sanner Scott

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-28244-7_1

Reference27 articles.

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3. Bursztyn, V., Healey, J., Lipka, N., Koh, E., Downey, D., Birnbaum, L.: “It doesn’t look good for a date”: Transforming critiques into preferences for conversational recommendation systems. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 1913–1918, Association for Computational Linguistics (Nov 2021). https://doi.org/10.18653/v1/2021.emnlp-main.145

4. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding pp. 4171–4186 (Jun 2019). https://doi.org/10.18653/v1/N19-1423

5. Gao, L., Callan, J.: Condenser: a pre-training architecture for dense retrieval. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 981–993 (2021)

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