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Found 4 papers, 1 papers with code
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model
In this paper, we describe a BERT model trained on the Eighteenth Century Collections Online (ECCO) dataset of digitized documents.
Optical Character Recognition
Optical Character Recognition (OCR)
Adversarial Examples for Extreme Multilabel Text Classification
Extreme Multilabel Text Classification (XMTC) is a text classification problem in which, (i) the output space is extremely large, (ii) each data point may have multiple positive labels, and (iii) the data follows a strongly imbalanced distribution.
Neural Generalization of Multiple Kernel Learning
By this interpretation, we propose a Neural Generalization of Multiple Kernel Learning (NGMKL), which extends the conventional multiple kernel learning framework to a multi-layer neural network with nonlinear activation functions.
Unbiased Loss Functions for Extreme Classification With Missing Labels
In addition to the computational burden arising from large number of training instances, features and labels, problems in XMC are faced with two statistical challenges, (i) large number of 'tail-labels' -- those which occur very infrequently, and (ii) missing labels as it is virtually impossible to manually assign every relevant label to an instance.
