AUEB at BioASQ 6: Document and Snippet Retrieval

09/15/2018

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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.

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AUEB at BioASQ 6: Document and Snippet Retrieval

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AUEB at BioASQ 6: Document and Snippet Retrieval

Related Research

A Passage-Based Approach to Learning to Rank Documents

Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization

Patient Cohort Retrieval using Transformer Language Models

Duet at TREC 2019 Deep Learning Track

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022

Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track

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