3 papers
cs.LG2023
Pseudo Labels for Single Positive Multi-Label Learning
Julio Arroyo
The cost of data annotation is a substantial impediment for multi-label image classification: in every image, every category must be labeled as present or absent. Single positive m…
cs.LG2023
Understanding Label Bias in Single Positive Multi-Label Learning
Julio Arroyo, Pietro Perona, Elijah Cole
Annotating data for multi-label classification is prohibitively expensive because every category of interest must be confirmed to be present or absent. Recent work on single positi…
cs.CL2021
Overview of ADoBo 2021: Automatic Detection of Unassimilated Borrowings in the Spanish Press
Elena Álvarez Mellado, Luis Espinosa Anke, Julio Gonzalo Arroyo +2
This paper summarizes the main findings of the ADoBo 2021 shared task, proposed in the context of IberLef 2021. In this task, we invited participants to detect lexical borrowings (…