Probing BERT for Ranking Abilities

Author:

Wallat JonasORCID,Beringer Fabian,Anand AbhijitORCID,Anand AvishekORCID

Publisher

Springer Nature Switzerland

Reference56 articles.

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2. van Aken, B., Winter, B., Löser, A., Gers, F.A.: How does BERT answer questions?: A layer-wise analysis of transformer representations. In: Zhu, W., et al. (eds.) Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China,3–7 Nov 2019, pp. 1823–1832. ACM (2019). https://doi.org/10.1145/3357384.3358028

3. Anand, A., Leonhardt, J., Rudra, K., Anand, A.: Supervised contrastive learning approach for contextual ranking. In: Crestani, F., Pasi, G., Gaussier, É. (eds.) ICTIR 2022: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, 11–12 July 2022, pp. 61–71. ACM (2022). https://doi.org/10.1145/3539813.3545139

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5. Belinkov, Y.: Probing classifiers: promises, shortcomings, and advances. Comput. Linguist. 48(1), 207–219 (2022). https://doi.org/10.1162/coli_a_00422

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