README.md

toyNLP

介绍

toyNLP是工作之余的NLP项目，仅做参考，实现算法：

一、 NER 命名实体识别

• Bi-LSTM + CRF
• BERT + CRF
• ALBERT + CRF

二、文本分类

• char Bigram + SVM

三、文本相似

• MaLSTM

四、NLP基础组件

• 双数组Trie树（Double Array Trie）

参考文献

[1] Lample, Guillaume, et al. "Neural architectures for named entity recognition." arXiv preprint arXiv:1603.01360 (2016).

[2] Mueller, Jonas, and Aditya Thyagarajan. "Siamese recurrent architectures for learning sentence similarity." national conference on artificial intelligence (2016): 2786-2792.