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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/

cross-domain_ner

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

emnlp2017-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

keypoints-of-humanpose-with-mask-r-cnn

Use the Mask RCNN for the human pose estimation

lstm-char-cnn

LSTM language model with CNN over characters

lstm-crf

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mask_rcnn-1

Instance Segmenation through Webcam using Mask-RCNN

medical-named-entity-recognition-for-ccks2017

A LSTM+CRF model for the seq2seq task for Medical named entity recognition in ccks2017

medical-relation-extraction

Crowdsourced ground truth for medical relation extraction.

The depository support training and testing BERT-CNN model on three medical relation extraction corpora: BioCreative V CDR task corpus, traditional Chinese medicine literature corpus, and i2b2 temporal relation corpus.

mmdetection

Open MMLab Detection Toolbox and Benchmark

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

ner-bert-pytorch

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

ner-loc

中文命名实体识别& 中文命名实体检测 python实现基于字+ 词位分别使用tensorflow IDCNN+CRF 及 BiLSTM+CRF 搭配词性标注实现中文命名实体识别及命名实体检测

nlp-journey

nlp相关的一些论文及代码, 包括主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算等，涉及到各种与nlp相关的算法，基于keras和tensorflow。

nlp-tools

😋本项目旨在通过Tensorflow基于BiLSTM+CRF实现中文分词、词性标注、命名实体识别（NER）。

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