# nlp

**Repository Path**: puccini-sy/nlp

## Basic Information

- **Project Name**: nlp
- **Description**: 使用bert-base-chinese训练中文文本分类模型
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2024-09-07
- **Last Updated**: 2024-09-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# NLP Final

#### 介绍
自然语言处理期末大作业
组员：彭伊朵1911558，徐静怡1911578

#### 主要内容
对于以下三种文本分类方法：TextGCN，TextING，LEAM进行复现。


#### 参考文献

1.  YAO L, MAO C, LUO Y. Graph convolutional networks for text classification[C]//AAAI,2019:7370-7377
2.  ZHANG Y, YU X, CUI Z, et al. Every document owns its structure: Inductive text classification via graph neural networks[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Online: [s.n.], 2020: 334-339
3.  WANG G, LI C, WANG W, et al. Joint embedding of words and labels for text classification[J]. CoRR, 2018, abs/1805.04174:2321-2331