Papers by Andrés Rosso-Mateus

1 papers
A Deep Metric Learning Method for Biomedical Passage Retrieval (2020.coling-main)

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Challenge: Existing methods for passage retrieval are based on metric learning . the proposed approach is particularly well suited for domain-specific passage retrievals where it is very important to take into account different sources of information.
Approach: They propose a method that learns a metric for questions and passages based on their internal semantic interactions.
Outcome: The proposed method outperforms triplet loss and state-of-the-art methods in a biomedical passage retrieval task and outperformed triplet losses by 10% and 26%.

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