Augmented SBERT

Augmented SBERT

Augmented SBERT is a powerful method for improving the performance of pairwise sentence scoring, which is used in natural language processing. This technique uses a pre-trained BERT cross-encoder and SBERT bi-encoder to enhance the quality of sentence recommendations. What is Augmented SBERT? Augmented SBERT is a data augmentation technique that offers an effective way to improve the accuracy of pairwise sentence scoring. This methodology uses a pre-trained BERT cross-encoder to sample senten

MixText

MixText

What is MixText and How Does it Work? Text classification involves the categorization of a given text into one of several predefined classes. This categorization can be done manually by human experts or automatically by computer programs using various algorithms. One popular method is supervised learning, in which a machine is trained to classify texts based on labeled data. However, labeled data can be expensive and time-consuming to obtain. Semi-supervised learning, on the other hand, uses bo

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