Implementation of a Hierarchical Attention Network (HAN) in PyTorch
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Updated
Jul 23, 2020 - Python
Implementation of a Hierarchical Attention Network (HAN) in PyTorch
Tensorflow implementation of attention mechanism for text classification tasks.
Paper code for Pruning and Sparsemax Methods for Hierarchical Attention Networks
Project files for pattern recognition group assignment (team 22) @ Utrecht University.
Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.
Text Classification Lib on Keras
THANOS is a modification in HAN (Hierarchical Attention Network) architecture. Here we use Tree LSTM to obtain the embeddings for each sentence.
Notebooks for running and visualizing results using trained models for linguistic complexity.
Repository of state of the art text/documentation classification algorithms in Pytorch.
This is the implementation for the paper: Sequential Recommender System based on Hierarchical Attention Network
all kinds of baseline models for long text classificaiton( text categorization)
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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