Papers by Agustín Delgado

1 papers
Evaluating Extreme Hierarchical Multi-label Classification (2022.acl-long)

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Challenge: Several natural language processing tasks are defined as a classification problem in its most complex form: Multi-label Hierarchical Extreme classification.
Approach: They propose a classification metric inspired by the Information Contrast Model (ICM) they use a set of formal properties to analyze the evaluation metrics.
Outcome: The proposed evaluation metrics are suitable for multi-label hierarchical extreme classification scenarios.

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