Stars
Awesome Law NLP Research Work, Paper, Competition, Onlline System
This repo is our research for multi-label classification for artworks in iMet
My pytorch implementation of the model described in the paper **Hierarchical Attention Networks for Document Classification** [paper](https://www.cs.cmu.edu/%7Ediyiy/docs/naacl16.pdf).
PyTorch implementation of Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network
Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification
Hierarchical Attention Networks for document classification
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Multi-Label Text Classification Based On Bert
multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search
pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
About Muti-Label Text Classification Based on Neural Network.
all kinds of text classification models and more with deep learning
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
question classification with multi-level attention mechanism 使用多层级注意力机制和keras实现问题分类
bert pytorch模型微调用于的多标签文本分类
multi-label-classification-4-event-type
本项目采用Keras和Keras-bert实现文本多标签分类任务，对BERT进行微调。
CNN-RNN中文文本分类，基于TensorFlow
multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification
Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.
Source code for SIGIR 2019 paper "Hierarchical Matching Network for Crime Classification"
YukeeWang / eda_nlp
Forked from johnson7788/eda_nlpData augmentation for NLP, presented at EMNLP 2019
Source code and checkpoints for legal pre-trained language models.