Overview of the TREC 2024 NeuCLIR Track
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866908545055719424 |
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| author | Lawrie, Dawn MacAvaney, Sean Mayfield, James McNamee, Paul Oard, Douglas W. Soldaini, Luca Yang, Eugene |
| author_facet | Lawrie, Dawn MacAvaney, Sean Mayfield, James McNamee, Paul Oard, Douglas W. Soldaini, Luca Yang, Eugene |
| contents | The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR) track is to study the effect of neural approaches on cross-language information access. The track has created test collections containing Chinese, Persian, and Russian news stories and Chinese academic abstracts. NeuCLIR includes four task types: Cross-Language Information Retrieval (CLIR) from news, Multilingual Information Retrieval (MLIR) from news, Report Generation from news, and CLIR from technical documents. A total of 274 runs were submitted by five participating teams (and as baselines by the track coordinators) for eight tasks across these four task types. Task descriptions and the available results are presented. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14355 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Overview of the TREC 2024 NeuCLIR Track Lawrie, Dawn MacAvaney, Sean Mayfield, James McNamee, Paul Oard, Douglas W. Soldaini, Luca Yang, Eugene Information Retrieval The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR) track is to study the effect of neural approaches on cross-language information access. The track has created test collections containing Chinese, Persian, and Russian news stories and Chinese academic abstracts. NeuCLIR includes four task types: Cross-Language Information Retrieval (CLIR) from news, Multilingual Information Retrieval (MLIR) from news, Report Generation from news, and CLIR from technical documents. A total of 274 runs were submitted by five participating teams (and as baselines by the track coordinators) for eight tasks across these four task types. Task descriptions and the available results are presented. |
| title | Overview of the TREC 2024 NeuCLIR Track |
| topic | Information Retrieval |
| url | https://arxiv.org/abs/2509.14355 |