text_torch
Todolist:Pytorch实现各种NN model
目前已经实现:
| 序号 | 模型 | 引用 |
|---|---|---|
| 01 | fasttext | Bag of Tricks for Efficient Text Classification |
| 02 | textcnn | Convolutional Neural Networks for Sentence Classification |
| 03 | textrnn | |
| 04 | textrcnn | Recurrent Convolutional Neural Networks for Text Classification |
| 05 | textrnn_attention | |
| 06 | siamese lstm | [Learning Text Similarity with Siamese Recurrent Networks](https://aclanthology.org/W16-1617.pdf) |
| 07 | ESIM | ESIM - Enhanced Sequential Inference Model |
| 08 | Bilstm_CRF | Bidirectional LSTM-CRF Models for Sequence Tagging |
| 09 | SimCSE | SimCSE: Simple Contrastive Learning of Sentence Embeddings |
| 10 | sentence transformer | sentence-transformer |
| 11 | Global_pointer | [GlobalPointer：用统一的方式处理嵌套和非嵌套NER](https://kexue.fm/archives/8373) |
| 12 | TPLinker | TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking |
| 13 | LEAR | Enhanced Language Representation with Label Knowledge for Span Extraction |