Overview of the TREC 2023 NeuCLIR Track
<|reference_start|>Overview of the TREC 2023 NeuCLIR Track: The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR) track is to study the impact of neural approaches to cross-language information retrieval. The track has created four collections, large collections of Chinese, Persian, and Russian newswire and a smaller collection of Chinese scientific abstracts. The principal tasks are ranked retrieval of news in one of the three languages, using English topics. Results for a multilingual task, also with English topics but with documents from all three newswire collections, are also reported. New in this second year of the track is a pilot technical documents CLIR task for ranked retrieval of Chinese technical documents using English topics. A total of 220 runs across all tasks were submitted by six participating teams and, as baselines, by track coordinators. Task descriptions and results are presented.<|reference_end|>
@article{lawrie2024overview,
    title={Overview of the TREC 2023 NeuCLIR Track},
    author={Dawn Lawrie and Sean MacAvaney and James Mayfield and Paul McNamee and
  Douglas W. Oard and Luca Soldaini and Eugene Yang},
    journal={arXiv preprint arXiv:2404.08071},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.08071},
    primaryClass={cs.IR}
}