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self-attention

Are We Really Making Much Progress in Text Classification? A Comparative Review - Summary

This paper reviews and compares methods for single-label and multi-label text classification, categorizing them into bag-of-words, sequence-based, graph-based, and hierarchical methods. The findings reveal that pre-trained language models outperform all recently proposed graph-based and hierarchy-b

Attention Is All You Need - Summary

The paper proposes a new network architecture called Transformer that relies solely on attention mechanisms, dispensing with recurrence and convolutions entirely. The Transformer allows for significantly more parallelization and can reach a new state of the art in translation quality while requirin