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A Deep Metric Learning Method for Biomedical Passage ...
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由 A Rosso-Mateus 著作2020 — In this work, we present a novel method for passage retrieval that learns a metric for questions and passages based on their internal semantic interactions.
A Deep Metric Learning Method for Biomedical Passage Retrieval
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This work presents a novel method for passage retrieval that learns a metric for questions and passages based on their internal semantic interactions, ...
A Deep Metric Learning Method for Biomedical Passage Retrieval
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Deep Metric Learning for Effective Passage Retrieval in the ...
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由 A Rosso-Mateus 著作2023被引用 2 次 — The paper makes use of a deep-metric learning approach for biomedical passage retrieval that outperforms baseline methods over BioASQ dataset.
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A Deep Metric Learning Method for Biomedical Passage ...
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2020年12月8日 — A Deep Metric Learning Method for Biomedical Passage Retrieval ... Generalized Local Attention Pooling for Deep Metric Learning. ICPR 2020.
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A Deep Metric Learning Method for Biomedical Passage Retrieval. Andrés Rosso-Mateus, F. González, M. Montes-y-Gómez. 2020, International Conference on ...
Andres Enrique Rosso-Mateus
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Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge. A Rosso-Mateus, LA Muñoz-Serna, M Montes-y-Gómez, FA González. CLEF (Working Notes) ...
Passage Retrieval
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Passage retrieval is a specialized type of IR application that retrieves relevant passages (or pieces of text) rather than an entire ranked set of documents.
Deep metric learning-based image retrieval system for ...
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由 A Zhong 著作2021被引用 75 次 — Development of a content-based image retrieval system for chest radiograph based on a novel deep metric learning algorithm.
A metric learning-based method for biomedical entity linking
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由 ND Le 著作2023 — We propose a metric-based learning method that treats a given entity and its mentions as a whole, regardless of the number of mentions in the training set.