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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 - Artificial Intelligence and Data Science & Analytics and Natural Language Processing

🐣 Hot Topic Early Bird - text retrieval

Authors

George Brokos, Polyvios Liosis, Ryan Mcdonald, Dimitris Pappas, Ion Androutsopoulos

Topics

Machine Learning > Core Methods > Classification Natural Language Processing > Applications > Information Retrieval Data Science & Analytics > Applications > Information Retrieval Deep Learning > Learning Types > Deep Learning Machine Learning > Application Areas > Information Retrieval

Keywords

neural network architecture document retrieval deep learning text retrieval biomedical information retrieval snippet retrieval

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