Papers by Marco Wrzalik
CoRT: Complementary Rankings from Transformers (2021.naacl-main)
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| Challenge: | Recent approaches to information retrieval mitigate computational costs by using a multi-stage ranking pipeline. |
| Approach: | They propose a ranking model that leverages contextual representations from pre-trained language models to complement term-based ranking functions while causing no significant delay at query time. |
| Outcome: | The proposed model significantly increases candidate recall by complementing BM25 with missing candidates while causing no significant delay at query time. |