Rationale Cnn
This repository implements the model from paper: Rationale-Augmented Convolutional Neural Networks for Text Classification
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Textclassification Keras | 649 | 3 years ago | 13 | mit | Python | |||||
| Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc. | ||||||||||
| Text Classification | 622 | 5 years ago | apache-2.0 | Python | ||||||
| Implementation of papers for text classification task on DBpedia | ||||||||||
| Graph Transformer | 408 | 2 years ago | 2 | apache-2.0 | Python | |||||
| Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow) | ||||||||||
| Deepgraphcnnfortexts | 98 | 6 years ago | 6 | Python | ||||||
| Few Shot Text Classification | 78 | 6 years ago | Jupyter Notebook | |||||||
| Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop | ||||||||||
| Very Deep Convolutional Networks For Natural Language Processing In Tensorflow | 54 | 7 years ago | 1 | Jupyter Notebook | ||||||
| implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow | ||||||||||
| Fasttext | 52 | 8 years ago | 1 | TeX | ||||||
| Unofficial implementation of the paper "Bag of Tricks for Efficient Text Classification" by Joulin et al. | ||||||||||
| Hierarchical Attention Networks | 47 | 5 years ago | mit | Python | ||||||
| TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification" | ||||||||||
| Fake News Detection | 42 | 2 years ago | mit | |||||||
| This repo is a collection of AWESOME things about fake news detection, including papers, code, etc. | ||||||||||
| Higrus | 36 | 4 years ago | 3 | Python | ||||||
| Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019. | ||||||||||
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Python
Dataset
Paper
Neural Network
Convolutional Neural Networks
Text Classification