TMU at TREC Clinical Trials Track 2023
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866929282536701952 |
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| author | Lahiri, Aritra Kumar Hasan, Emrul Hu, Qinmin Vivian Ding, Cherie |
| author_facet | Lahiri, Aritra Kumar Hasan, Emrul Hu, Qinmin Vivian Ding, Cherie |
| contents | This paper describes Toronto Metropolitan University's participation in the TREC Clinical Trials Track for 2023. As part of the tasks, we utilize advanced natural language processing techniques and neural language models in our experiments to retrieve the most relevant clinical trials. We illustrate the overall methodology, experimental settings, and results of our implementation for the run submission as part of Team - V-TorontoMU. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_12088 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | TMU at TREC Clinical Trials Track 2023 Lahiri, Aritra Kumar Hasan, Emrul Hu, Qinmin Vivian Ding, Cherie Computation and Language Information Retrieval This paper describes Toronto Metropolitan University's participation in the TREC Clinical Trials Track for 2023. As part of the tasks, we utilize advanced natural language processing techniques and neural language models in our experiments to retrieve the most relevant clinical trials. We illustrate the overall methodology, experimental settings, and results of our implementation for the run submission as part of Team - V-TorontoMU. |
| title | TMU at TREC Clinical Trials Track 2023 |
| topic | Computation and Language Information Retrieval |
| url | https://arxiv.org/abs/2403.12088 |