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A Study on Entity Linking Across Domains”:" Which Data is Best for Fine-Tuning?
In particular, we represent the entities of different KGs in a joint vector space and address the questions of which data is best suited for creating and fine-tuning that space, and whether fine-tuning harms performance on the general domain.
Offensive Language Detection on Twitter
Detection of offensive language in social media is one of the key challenges for social media.
Effective General-Domain Data Inclusion for the Machine Translation Task by Vanilla Transformers
In addition, we investigate the effect of the inclusion of additional general-domain data in training from the IWSLT'16 dataset to improve the Transformer model performance.
Cross-Domain Neural Entity Linking
Entity Linking is the task of matching a mention to an entity in a given knowledge base (KB).
Data Augmentation using Feature Generation for Volumetric Medical Images
Deep Learning models, in particular, show promising results on image segmentation and classification problems, but they require very large datasets for training.
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends
Histopathology images are captured by a microscope to locate, examine, and classify many diseases, such as different cancer types.
