Convolutional Neural Networks for Sentence Classification
We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks. We show that a simple CNN with little hyperparameter tuning and static vectors achieves excellent results on multiple benchmarks. Learning task-specific vectors through fine-tuning offers further gains in performance. We additionally propose a simple modification to the architecture to allow for the use of both task-specific and static vectors. The CNN models discussed herein improve upon the state of the art on 4 out of 7 tasks, which include sentiment analysis and question classification.
Citation edge evidence
- Hierarchical Attention Networks for Document Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- CodeBERT: A Pre-Trained Model for Programming and Natural Languages→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Convolutional 2D Knowledge Graph Embeddings→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Graph Convolutional Networks for Text Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Natural language processing: state of the art, current trends and challenges→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Deep Learning--based Text Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Mining and summarizing customer reviewsLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→A sentimental educationLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Seeing starsLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Annotating Expressions of Opinions and Emotions in LanguageLegacy edge — source detail unavailable
- A Convolutional Neural Network for Modelling Sentences→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- A Convolutional Neural Network for Modelling Sentences→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- A Convolutional Neural Network for Modelling Sentences→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Seeing stars→A sentimental educationLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Character-level Convolutional Networks for Text Classification→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→Seeing starsLegacy edge — source detail unavailable
- Document Modeling with Gated Recurrent Neural Network for Sentiment Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→Seeing starsLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Convolutional 2D Knowledge Graph Embeddings→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Convolutional 2D Knowledge Graph Embeddings→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Convolutional 2D Knowledge Graph Embeddings→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Convolutional 2D Knowledge Graph Embeddings→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Natural language processing: state of the art, current trends and challenges→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Natural language processing: state of the art, current trends and challenges→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Seeing starsLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Graph Convolutional Networks for Text Classification→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Graph Convolutional Networks for Text Classification→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
- Graph Convolutional Networks for Text Classification→Hierarchical Attention Networks for Document ClassificationLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Hierarchical Attention Networks for Document ClassificationLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→A sentimental educationLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Mining and summarizing customer reviewsLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Character-level Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
- EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Ta…→Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Deep Learning--based Text Classification→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Deep Learning--based Text Classification→Document Modeling with Gated Recurrent Neural Network for Sentiment ClassificationLegacy edge — source detail unavailable
- Deep Learning--based Text Classification→Hierarchical Attention Networks for Document ClassificationLegacy edge — source detail unavailable
- Deep Learning--based Text Classification→Graph Convolutional Networks for Text ClassificationLegacy edge — source detail unavailable
- Deep Learning--based Text Classification→Pre-trained models for natural language processing: A surveyLegacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
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Topics
| Topic Modeling | Computer Science |
| Sentiment Analysis and Opinion Mining | Computer Science |
| Natural Language Processing Techniques | Computer Science |
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