Character-level Convolutional Networks for Text Classification

Keywords

Character (mathematics), Convolutional neural network, Computer science, Artificial intelligence, tf–idf

References

• On the importance of initialization and momentum in deep learningIlya Sutskever, James Martens, George E. Dahl — 2013
• Experiments with time delay networks and dynamic time warping for speaker independent isolated digits recognitionLéon Bottou, Françoise Fogelman Soulié, Pascal Blanchet — 1989
• Torch7: A Matlab-like Environment for Machine LearningRonan Collobert, Koray Kavukcuoglu, Clément Farabet — 2011
• Learning representations by back-propagating errorsDavid E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams — 1986
• DBpedia - A large-scale, multilingual knowledge base extracted from WikipediaJens Lehmann, Robert Isele, Max Jakob — 2015
• Text Categorization with Support Vector Machines: Learning with Many Relevant FeaturesThorsten Joachims — 1999
• Rectified Linear Units Improve Restricted Boltzmann MachinesVinod Nair, Geoffrey E. Hinton — 2010
• LSTM: A Search Space OdysseyKlaus Greff, Rupesh K. Srivastava, Jan Koutník — 2015
• On the difficulty of training recurrent neural networksRazvan Pascanu, Tomáš Mikolov, Yoshua Bengio — 2012
• Convolutional Neural Networks for Sentence ClassificationYoon Kim — 2014
• Effective Use of Word Order for Text Categorization with Convolutional Neural NetworksRie Johnson, Tong Zhang — 2014
• Improving neural networks by preventing co-adaptation of feature detectorsGeoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky — 2012
• Words versus Character n-Grams for Anti-Spam FilteringIoannis Kanaris, Konstantinos Kanaris, IOANNIS HOUVARDAS — 2007
• Some methods of speeding up the convergence of iteration methodsB. T. Polyak — 1964
• Hidden factors and hidden topics: understanding rating dimensions with review textJulian McAuley, Jure Leskovec — 2013
• Long Short-Term MemorySepp Hochreiter, Jürgen Schmidhuber — 1997
• 2005 Special Issue: Framewise phoneme classification with bidirectional LSTM and other neural network architecturesAlex Graves, Jürgen Schmidhuber — 2005
• Learning mid-level features for recognitionY-Lan Boureau, Francis Bach, Yann LeCun — 2010
• Learning Character-level Representations for Part-of-Speech TaggingCícero dos Santos, Bianca Zadrozny — 2014
• Gradient-based learning applied to document recognitionYann LeCun, Léon Bottou, Yoshua Bengio — 1998

Cited by

• Semisupervised Text Classification by Variational Autoencoder廣次 堀野 — 2020
• Character-Aware Neural Language ModelsYoon Kim, Yacine Jernite, David Sontag — 2015
• Semi-supervised Sequence LearningAndrew M. Dai, Quoc V. Le — 2015
• sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word EmbeddingsAndrew Trask, Phil Michalak, John Liu — 2015
• Efficient Character-level Document Classification by Combining Convolution and Recurrent LayersYijun Xiao, Kyunghyun Cho — 2016
• Supervised and Semi-Supervised Text Categorization using LSTM for Region EmbeddingsRie Johnson, Tong Zhang — 2016
• Neural Architectures for Named Entity RecognitionGuillaume Lample, Miguel Ballesteros, Sandeep Subramanian — 2016
• Integrated Sequence Tagging for Medieval Latin Using Deep Representation LearningMike Kestemont, Jeroen De Gussem — 2016
• A Fast Unified Model for Parsing and Sentence UnderstandingSamuel R. Bowman, Jon Gauthier, Abhinav Rastogi — 2016
• A Character-level Decoder without Explicit Segmentation for Neural Machine TranslationJun‐Young Chung, Kyunghyun Cho, Yoshua Bengio — 2016
• Enhancing Sentence Relation Modeling with Auxiliary Character-level EmbeddingPeng Li, Heng Huang — 2016
• Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling ApproachChenwei Zhang, Wei Fan, Nan Du — 2016
• Advances in Very Deep Convolutional Neural Networks for LVCSRTom Sercu, Vaibhava Goel — 2016
• Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary LossBarbara Plank, Anders Søgaard, Yoav Goldberg — 2016
• Higher order features and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguationAntonio Jimeno Yepes — 2016
• Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsMinh-Thang Luong, Christopher D. Manning — 2016
• Semi-supervised Question Retrieval with Gated ConvolutionsTao Leí, Hrishikesh Joshi, Regina Barzilay — 2015
• Spoken Language Understanding for a Nutrition Dialogue SystemMandy Korpusik, James Glass — 2017
• Basset: learning the regulatory code of the accessible genome with deep convolutional neural networksDavid R. Kelley, Jasper Snoek, John L. Rinn — 2015
• Deep Motif: Visualizing Genomic Sequence ClassificationsJack Lanchantin, Ritambhara Singh, Zeming Lin — 2016

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