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BiGACT- BanglaBERT Integrated with Graph Attention and Convolution Network for health misinformation Text classification
A pytorch library for graph and hypergraph computation.
Graph Convolutional Networks for Text Classification. AAAI 2019
PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."
Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification
Awesome Papers About Performing Prompting On Graphs
Text Classification using Graph Convolutional Neural Networks and Natural Language Processing Techniques
Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
This is a simple implementation of how to leverage a Language Model for a prompt-based learning model
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant di…
Text generation using language models with multiple exit heads
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
Implementation of Simple Contrastive Learning-based Unsupervised approach to generate sentence embeddings and to perform text similarity in Tensorflow
Research framework for low resource text classification that allows the user to experiment with classification models and active learning strategies on a large number of sentence classification dat…
An Open-Source Framework for Prompt-Learning.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…