Biomedical Semantic Indexing and Question Answering
BioASQ is a question answering dataset. Instances in the BioASQ dataset are composed of a question (Q), human-annotated answers (A), and the relevant contexts (C) (also called snippets).
Source: Transferability of Natural Language Inference to Biomedical Question Answering
Image Source: http://participants-area.bioasq.org/datasets/
Variants: BioASQ
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Question Answering | GAL 120B (zero-shot) | Galactica: A Large Language Model … | 2022-11-16 |
| Question Answering | BLOOM (zero-shot) | Galactica: A Large Language Model … | 2022-11-16 |
| Question Answering | OPT (zero-shot) | Galactica: A Large Language Model … | 2022-11-16 |
| Question Answering | BioLinkBERT (large) | LinkBERT: Pretraining Language Models with … | 2022-03-29 |
| Question Answering | BioLinkBERT (base) | LinkBERT: Pretraining Language Models with … | 2022-03-29 |
| Question Answering | PubMedBERT uncased | Domain-Specific Language Model Pretraining for … | 2020-07-31 |
Recent papers with results on this dataset: