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Very Deep Convolutional Networks for Text Classification

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot

Visualizing and Understanding Convolutional Networks

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_38openalex-snapshot

Identity Mappings in Deep Residual Networks

inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot

Gradient-based learning applied to document recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

inferredcites →https://doi.org/10.1145/1390156.1390177openalex-snapshot

A unified architecture for natural language processing

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.18653/v1/d13-1176openalex-snapshot

Recurrent Continuous Translation Models

inferredcites →https://doi.org/10.21437/interspeech.2012-65openalex-snapshot

LSTM neural networks for language modeling

inferredcites →https://doi.org/10.48550/arxiv.1103.0398openalex-snapshot

Natural Language Processing (almost) from Scratch

inferredcites →https://doi.org/10.48550/arxiv.1404.2188openalex-snapshot

A Convolutional Neural Network for Modelling Sentences

inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot

Sequence to Sequence Learning with Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1502.01710openalex-snapshot

Text Understanding from Scratch

inferredcites →https://doi.org/10.57702/o9raffedopenalex-snapshot

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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BSHIFT: A Low Cost Deep Neural Networks Accelerator

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Text normalization with convolutional neural networks

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A Spin Glass Model for the Loss Surfaces of Generative Adversarial Networks

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Manas: multi-agent neural architecture search

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A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis

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Efficient feature selection techniques for sentiment analysis

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Multi-head self-attention based gated graph convolutional networks for aspect-based sentiment classification

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Ensemble approach for web page classification

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Sentiment analysis: a convolutional neural networks perspective

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Impact of convolutional neural network and FastText embedding on text classification

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Abstractive text summarization using adversarial learning and deep neural network

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Author Profiling in Code-Mixed WhatsApp Messages Using Stacked Convolution Networks and Contextualized Embedding Based Text Augmentation

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Word-Context Attention for Text Representation

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Novel GCN Model Using Dense Connection and Attention Mechanism for Text Classification

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Financial causal sentence recognition based on BERT-CNN text classification

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Text sentiment classification of Amazon reviews using word embeddings and convolutional neural networks

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An augmented multi-label neural network-based approach for text classification in small and unbalanced datasets: the case of digital innovation in the EIP-AGRI Operational Groups

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Learning social representations with deep autoencoder for recommender system

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Newton design: designing CNNs with the family of Newton’s methods

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E-PRedictor: an approach for early prediction of pull request acceptance

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Optimizing Convolutional Neural Networks: A Comprehensive Review of Hyperparameter Tuning Through Metaheuristic Algorithms

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A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm

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GSNet: Group Sequential Learning for Image Recognition

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Software vulnerability prioritization using vulnerability description

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An Enhanced Gated Recurrent Unit with Auto-Encoder for Solving Text Classification Problems

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Query expansion based on clustering and personalized information retrieval

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Deeply integrating unsupervised semantics and syntax into heterogeneous graphs for inductive text classification

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An uncertainty and conviction-aware attention model for automatically estimating reviewer confidence from peer review texts

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RG-Hybrid: pure late fusion of RoBERTa and a graph transformer for robust, interpretable sentiment classification

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An improved gated recurrent unit based on auto encoder for sentiment analysis

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Analyzing sentiments towards E-Levy policy implementation in Ghana using twitter data

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Helpfulness-aware review based neural recommendation

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Keyword Extraction: A Modern Perspective

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Deep learning for accident avoidance in a hostile driving environment

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A ‘Cluster-then-Estimate’ Natural Language Processing (NLP) Approach for Classifying Maritime Incident Severity Based on Textual Descriptions

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Performing protein fold recognition by exploiting a stack convolutional neural network with the attention mechanism

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Usable Amharic text corpus for natural language processing applications

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Sentiment analysis on Bangla text using extended lexicon dictionary and deep learning algorithms

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Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification

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Classifying cancer pathology reports with hierarchical self-attention networks

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Early detection of sepsis utilizing deep learning on electronic health record event sequences

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Evaluation of deep learning-based depression detection using medical claims data

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