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arXiv · 2304.12367

Overview of the TREC 2022 NeuCLIR Track

Dawn Lawrie·Sean MacAvaney·James Mayfield·Paul McNamee·Douglas W. Oard·Luca Soldaini·Eugene Yang
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Abstract

This is the first year of the TREC Neural CLIR (NeuCLIR) track, which aims to study the impact of neural approaches to cross-language information retrieval. The main task in this year's track was ad hoc ranked retrieval of Chinese, Persian, or Russian newswire documents using queries expressed in English. Topics were developed using standard TREC processes, except that topics developed by an annotator for one language were assessed by a different annotator when evaluating that topic on a different language. There were 172 total runs submitted by twelve teams.

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Dawn Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang. 2023-04-24. Overview of the TREC 2022 NeuCLIR Track. https://arxiv.org/abs/2304.12367

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