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Learnt Sparsity for Effective and Interpretable Document Ranking.

, , и . CoRR, (2021)

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Edmund Jurek

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Efficient Neural Ranking using Forward Indexes and Lightweight Encoders, , , , , и . ACM Trans. Inf. Syst., (2024)Just Accepted.Data Augmentation for Sample Efficient and Robust Document Ranking., , , , и . CoRR, (2023)Efficient Neural Ranking using Forward Indexes., , , , и . WWW, стр. 266-276. ACM, (2022)Node Representation Learning for Directed Graphs., , , и . ECML/PKDD (1), том 11906 из Lecture Notes in Computer Science, стр. 395-411. Springer, (2019)Boilerplate Removal using a Neural Sequence Labeling Model, , и . Companion Proceedings of the Web Conference 2020, ACM, (апреля 2020)Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval., , и . CoRR, (2022)Fast Forward Indexes for Efficient Document Ranking., , , , и . CoRR, (2021)Efficient Neural Ranking using Forward Indexes and Lightweight Encoders., , , , , и . CoRR, (2023)Extractive Explanations for Interpretable Text Ranking., , и . ACM Trans. Inf. Syst., 41 (4): 88:1-88:31 (октября 2023)Exploiting Sentence-Level Representations for Passage Ranking., , и . LWDA, том 2993 из CEUR Workshop Proceedings, стр. 287-302. CEUR-WS.org, (2021)