Changxing Wu's starred repositories
Citation-Count-Prediction
this repository contains the dataset and the source code for the EMNLP 2019 paper "A Neural Citation Count Prediction Model based on Peer Review Text"
PyTorch_Bert_Text_Classification
PyTorch Bert Text Classification
BERT-pytorch
Google AI 2018 BERT pytorch implementation
CRF-Layer-on-the-Top-of-BiLSTM
The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/
StylisticPoetry
Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)
Chinese-Simile-Recognition-Dataset
A chinese simile recognition dataset of "Xiang".
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
awesome-da
Discourse Analysis
awesome-asc
Sentiment Classification, Aspect-level Sentiment Classification
Deep-Learning-for-Aspect-Level-Sentiment-Classification-Baselines
The public state-of-the-art methods for deep learning based ASC
Aspect-level-sentiment
Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"
awesome-nlp-resource
awesome nlp resource
Deep_Enhanced_Repr_for_IDRR
code for COLING 2018 paper Deep Enhanced Representation for Implicit Discourse Relation Recognition
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
ChinsesNER-pytorch
基于BI-LSTM+CRF的中文命名实体识别 Pytorch
cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
ELMoForManyLangs
Pre-trained ELMo Representations for Many Languages
char_rnn_lm_zh
language model in Chinese,基于Pytorch官方文档实现
a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
pytorch-language-model
Simple LSTM-based word-level language model in PyTorch
RA-retrofit
A Pytorch implementation of "Knowledge-Enhanced Ensemble Learning for Word Embeddings" (WWW 2019)