Chinese-Tokenization

Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.

The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.

Pytorch BERT-BiLSTM-CRF For NER

BERT-NER (nert-bert) with google bert https://github.com/google-research.

基于BI-LSTM+CRF的中文命名实体识别 Pytorch

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

A PyTorch implementation of a BiLSTM \ BERT \ Roberta (+ BiLSTM + CRF) model for Chinese Word Segmentation (中文分词) .

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/

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF