تقرير
Overview of the TREC 2023 NeuCLIR Track
| العنوان: | Overview of the TREC 2023 NeuCLIR Track |
|---|---|
| المؤلفون: | Lawrie, Dawn, MacAvaney, Sean, Mayfield, James, McNamee, Paul, Oard, Douglas W., Soldaini, Luca, Yang, Eugene |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Information Retrieval |
| الوصف: | 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. Comment: 27 pages, 17 figures. Part of the TREC 2023 Proceedings |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2404.08071 |
| رقم الأكسشن: | edsarx.2404.08071 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |