The features include the likelihood ratio of the term based on specialized and lay language models, and tests for containing morphologically complex words. The ...
In this paper, we train a learning-to-rank model to determine a specialization degree for each term found in a given list. Since no training data for this task ...
A learning-to-rank model is trained to determine a specialization degree for each term found in a given list, and adding morphological features to the ...
In this paper, we train a learning-to-rank model to determine a specialization degree for each term found in a given list. Since no training data for this task ...
May 29, 2016 · In this paper, we train a learning-to-rank model to determine a specialization degree for each term found in a given list. Since no training ...
Transfer-Based Learning-to-Rank Assessment of Medical Term Technicality. Authors, Dhouha Bouamor, Leonardo Campillos Llanos, Anne-Laure Ligozat, Sophie Rosset ...
Reference: Transfer-Based Learning-to-Rank Assessment of Medical Term Technicality (Dhouha Bouamor, Leonado Campillos Llanos, Anne-Laure Ligozat, Sophie ...
Transfer-based learning-to-rank assessment of medical term technicality. D Bouamor, LC Llanos, AL Ligozat, S Rosset, P Zweigenbaum. Proceedings of the Tenth ...
Información del artículo Transfer-based learning-to-rank assessment of medical term technicality.
Apr 13, 2022 · This review paper attempts to provide guidance for selecting a model and TL approaches for the medical image classification task.
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