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• W3106510880 abstract "We benchmark Conformer-Kernel models under the strict blind evaluation setting of the TREC 2020 Deep Learning track. In particular, we study the impact of incorporating: (i) Explicit term matching to complement matching based on learned representations (i.e., the Duet principle), (ii) query term independence (i.e., the QTI assumption) to scale the model to the full retrieval setting, and (iii) the ORCAS click data as an additional document description field. We find evidence which supports that all three aforementioned strategies can lead to improved retrieval quality." @default.
• W3106510880 created "2020-11-23" @default.
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• W3106510880 date "2020-11-14" @default.
• W3106510880 modified "2023-09-27" @default.
• W3106510880 title "Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track" @default.
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