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Deep neural networks (DNNs) are often used for text classification tasks as they usually achieve high levels of accuracy.
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Normalized information distance
Paul MB Vitányi, Frank J Balbach, Rudi L Cilibrasi, and Ming Li. 2009 · 2009
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Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms
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Rethinking complex neural network architectures for document classification
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
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Hierarchical attention networks for document classification
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
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Graph convolutional networks for text classification
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Document ranking with a pretrained sequence-to-sequence model
Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, and Jimmy Lin. 2020 · 2020
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Transformers: State-of-the-art natural language processing
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Text ranking and classification using data compression
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An empirical study of pre-trained vision models on out-of-distribution generalization
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Effectiveness of pre-training for few-shot intent classification
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A survey on text classification: From traditional to deep learning
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S Yu, and Lifang He. 2022 · 2022
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