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AUEB-NLP at BioASQ 6: Document and Snippet Retrieval

Georgios-Ioannis Brokos
Polyvios Liosis
Ryan McDonald
Dimitris Pappas
Ion Androutsopoulos
(2018) (to appear)

Abstract

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.