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A Deep Learning Approach for Selective Relevance Feedback.

, , , и . ECIR (2), том 14609 из Lecture Notes in Computer Science, стр. 189-204. Springer, (2024)

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Ranking Significant Discrepancies in Clinical Reports., , , и . ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 238-245. Springer, (2020)Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-Shot Learning., , и . ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 246-254. Springer, (2020)ABNIRML: Analyzing the Behavior of Neural IR Models., , , , и . CoRR, (2020)A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract)., , , , и . IIR, том 3177 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Overview of the TREC 2022 NeuCLIR Track., , , , , , и . TREC, том 500-338 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models., , , , и . ECIR (2), том 14609 из Lecture Notes in Computer Science, стр. 286-302. Springer, (2024)Effective Contrastive Weighting for Dense Query Expansion., , , и . ACL (1), стр. 12688-12704. Association for Computational Linguistics, (2023)Expansion via Prediction of Importance with Contextualization., , , , , и . SIGIR, стр. 1573-1576. ACM, (2020)Content-Based Weak Supervision for Ad-Hoc Re-Ranking., , , и . SIGIR, стр. 993-996. ACM, (2019)Evaluating the Explainability of Neural Rankers., , и . ECIR (4), том 14611 из Lecture Notes in Computer Science, стр. 369-383. Springer, (2024)