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--- |
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license: cc-by-2.5 |
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language: |
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- nl |
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tags: |
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- medical |
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pretty_name: BioASQ Dutch 11B, Q/A |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- question-answering |
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- sentence-similarity |
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--- |
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[Bio ASQ challenge 11b](https://bioasq.org/) |
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This can be used to finetune a decoder model for Q/A interaction, |
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alternatively it can be used to create *(question, positive, negative)* |
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triplets to train a sentence encoder using [SBERT](https://www.sbert.net/). |
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## Reference: |
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``` |
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@inbook{Nentidis_2023, |
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title={Overview of BioASQ 2023: The Eleventh BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering}, |
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ISBN={9783031424489}, |
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ISSN={1611-3349}, |
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url={http://dx.doi.org/10.1007/978-3-031-42448-9_19}, |
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DOI={10.1007/978-3-031-42448-9_19}, |
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booktitle={Experimental IR Meets Multilinguality, Multimodality, and Interaction}, |
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publisher={Springer Nature Switzerland}, |
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author={Nentidis, Anastasios and Katsimpras, Georgios and Krithara, Anastasia and Lima López, Salvador and Farré-Maduell, Eulália and Gasco, Luis and Krallinger, Martin and Paliouras, Georgios}, |
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year={2023}, |
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pages={227–250} } |
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`` |
