# 自然语言处理

* [返回顶层目录](https://github.com/luweikxy/machine-learning-notes/tree/35283bef55e55cf2bba80b21e40ce68d2f5c12f0/SUMMARY.md)
* [自然语言处理概论](https://luweikxy.gitbook.io/machine-learning-notes/natural-language-processing-introduction)
* [自然语言](https://luweikxy.gitbook.io/machine-learning-notes/natural-language)
* [语言模型和中文分词](https://luweikxy.gitbook.io/machine-learning-notes/language-model-and-chinese-word-segmentation)
* [Seq2Seq模型和Attention机制](https://luweikxy.gitbook.io/machine-learning-notes/seq2seq-and-attention-mechanism)
* [Self-Attention和Transformer](https://luweikxy.gitbook.io/machine-learning-notes/self-attention-and-transformer)

\===

[从Word Embedding到Bert模型—自然语言处理中的预训练技术发展史](https://zhuanlan.zhihu.com/p/49271699)

[从One-hot, Word embedding到Transformer，一步步教你理解Bert](https://mp.weixin.qq.com/s/rxkHtRPMrEZPHzyq2UD4Fg)

[从Word2Vec到Bert，聊聊词向量的前世今生（一）](https://mp.weixin.qq.com/s/LaikrZUGlzn864ttdeyBLQ)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://luweikxy.gitbook.io/machine-learning-notes/natural-language-processing.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.