Artificial Intelligence - Algorithm Chapter 41 - Sequence Model of Natural Language Processing

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@[toc]

1 Introduction

2. Overview of sequence models

3. Hidden Markov Model (HMM)

3.1 Model principle

3.2 Application areas

3.3 Analysis of advantages and disadvantages

4. Markov Chain

4.1 Basic concepts

4.2 Application scenarios

4.3 Model training and inference

5. Conditional Random Field (CRF)

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Origin blog.csdn.net/zhanggqianglovec/article/details/134601018

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