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ak-de-bigru

Improving Response Selection in Multi-turn Dialogue Systems by Incorporating Domain Knowledge

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

bert-ner-pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

bert-pytorch

Google AI 2018 BERT pytorch implementation

bert_classification_models

BERT-type models for classification task

bnlstm-pytorch

Batch normalized LSTM with pytorch

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cmsc

A matlab implementation of the collaborative multi-domain sentiment classification algorithm.

cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deep-text-classifier-mtl

It is a tensorflow script for multi-task learning implementation of Kim's paper : Convolutional Neural Networks for Sentence Classification.

dialogue-utterance-rewriter

doccano

Open source text annotation tool for machine learning practitioner.

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

graphsage

Representation learning on large graphs using stochastic graph convolutions.

lark

LAnguage Representations Kit

man

Multinomial Adversarial Networks for Multi-Domain Text Classification

multiturnresponseselection

This repo contains our ACL paper data and source code

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

s-lstm

Code for the paper: Sentence-State LSTM for Text Representation

sarg

A official implementation of SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration

structured-self-attention

A Structured Self-attentive Sentence Embedding

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于tensorflow

text_classification

all kinds of text classificaiton models and more with deep learning

torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

transformer-pointer-generator

A Abstractive Summarization Implementation with Transformer and Pointer-generator

uda

Unsupervised Data Augmentation (UDA)

zh-ner-tf

A simple BiLSTM-CRF model for Chinese Named Entity Recognition task