2018 EMNLP EMNLP 2018

AUEB at BioASQ 6: Document and Snippet Retrieval

Abstract

AbstractWe 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.

🌉 Interdisciplinary Bridge — Data Science & Analytics and Deep Learning and Machine Learning and Natural Language Processing
📈 Trend Setter — Information Retrieval
🧭 Keyword Pioneer — biomedical information retrieval
🐣 Hot Topic Early Bird — document retrieval
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio