AUEB at BioASQ 6: Document and Snippet Retrieval
arXiv:1809.06366v11097 citations
AI Analysis
This work addresses retrieval tasks in biomedical domains, showing incremental improvements in a specific competition setting.
The paper tackled document and snippet retrieval in the BioASQ 6 challenge by using novel deep learning extensions, achieving top or near-top scores across all batches.
We present AUEB's submissions to the BioASQ 6 document and snippet retrieval tasks (parts of Task 6b, Phase A). Our models use novel extensions to deep learning architectures that operate solely over the text of the query and candidate document/snippets. Our systems scored at the top or near the top for all batches of the challenge, highlighting the effectiveness of deep learning for these tasks.