Extractive explanations for interpretable text ranking

J Leonhardt, K Rudra, A Anand - ACM Transactions on Information …, 2023 - dl.acm.org
Neural document ranking models perform impressively well due to superior language
understanding gained from pre-training tasks. However, due to their complexity and large …
被引用次数：17 相关文章

Extractive Explanations for Interpretable Text Ranking

J Leonhardt, K Rudra, A Anand - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Neural document ranking models perform impressively well due to superior language
understanding gained from pre-training tasks. However, due to their complexity and large …

Extractive Explanations for Interpretable Text Ranking

J Leonhardt, K Rudra, A Anand - arXiv preprint arXiv:2106.12460, 2021 - arxiv.org
Neural document ranking models perform impressively well due to superior language
understanding gained from pre-training tasks. However, due to their complexity and large …

[引用][C] Extractive Explanations for Interpretable Text Ranking

J Leonhardt - mrjleo.github.io
Publications Home Projects Publications Projects Publications Publications Extractive
Explanations for Interpretable Text Ranking Jurek Leonhardt, Koustav Rudra, Avishek Anand …

Extractive Explanations for Interpretable Text Ranking

J Leonhardt, K Rudra, A Anand - ACM Trans. Inf. Syst., 2023 - openreview.net
Neural document ranking models perform impressively well due to superior language
understanding gained from pre-training tasks. However, due to their complexity and large …

Extractive Explanations for Interpretable Text Ranking

J Leonhardt, K Rudra, A Anand - ACM Transactions on …, 2023 - research.tudelft.nl
Neural document ranking models perform impressively well due to superior language
understanding gained from pre-Training tasks. However, due to their complexity and large …