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Extensive Pyramid Networks for Text Classification
2019
Australian Journal of Intelligent Information Processing Systems
Text classification is an important task in Natural Language Processing. Traditionally, human-designed features are used on text classifiers. In recent years, methods based on word embeddings and deep learning have made a great breakthrough. Deep neural networks such as convolutional neural networks and recurrent neural networks have achieved very good results. The attention mechanism, especially self-attention, has also gained great performance on many NLP tasks. This paper describes an
dblp:journals/ajiips/ShiYL19
fatcat:zqt6eu6mxfaepjitd2qlvoetja