Pinned

1. NLPGNN

   1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

   Python 171 34

2. BERT-NER

   Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

   Python 964 310

3. Clinical-NER

   面向中文电子病历的命名实体识别

   C 145 58

4. Relation_Extration

   Relation Classification via Convolutional Deep Neural Network

   Python 12 3

5. Bert-BiLSTM-CRF

   This model base on bert-as-service. Model structure : bert-embedding bilstm crf.

   Python 32 13

6. Sequence_Labeling

   BiLSTM+CRF

   Python 9 3