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Contrastive Graph Transformer Network for Personality Detection
Created
2024-11-02
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Updated
2025-02-28
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ALTNT
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http://blog.705553939.xyz/2024/11/02/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/%E8%87%AA%E7%9B%91%E7%9D%A3/2022-IJCAI-Constrastive-Graph-Transformer-Network/
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Contents
1.
Contrastive Graph Transformer Network for Personality Detection
1.1.
摘要
1.2.
背景
1.2.1.
(传统方法)
1.2.2.
(现有模型可能会受到人格标签稀缺的影响)
1.2.3.
(不同维度(trait)有不可忽视的相关性,且很少被利用)
1.2.4.
(提出CGTN)
1.2.5.
(CGTN组成)
1.2.6.
(主要贡献)
1.3.
2相关工作
1.4.
3 初步介绍
1.5.
4 对比图Transformer网络
1.5.1.
4.1 对比post graph 编码器
1.5.1.1.
后图增强
1.5.1.2.
图对比自监督学习。
1.5.2.
4.2 特征序列解码器
1.5.2.1.
Post-to-trait Attention
1.5.2.2.
Trait生成
1.5.3.
4.3 模型训练
1.6.
5 、实验
1.6.1.
5.1 数据集
1.6.2.
5.2 基准线
1.6.3.
5.3 实施细节
1.6.4.
5.4 总体结果
1.6.5.
5.5 消融研究
1.6.6.
5.6 训练样本数量的影响
1.6.7.
5.7 权衡参数的影响
1.6.8.
5.8 训练效率
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