Add TPLinkerPlus

[linjieccc]

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New features

PR changes

Models

Description

• 新增信息抽取封闭域模型

  • 提供了一套统一的数据格式，适配实体抽取、关系抽取、事件抽取、观点抽取等抽取类型任务。

  • 本项目提供了各任务训练、评估、静态图导出以及python端部署的具体示例。

    主要代码结构如下：

    ├── deploy
    │   └── python
    │       └── predict.py # python端部署脚本
    ├── train.py # 训练脚本
    ├── convert.py # 数据转换脚本
    ├── evaluate.py # 评估脚本
    ├── metric.py # 指标计算
    ├── export_model.py # 动态图参数导出静态图参数脚本
    ├── utils.py # 工具函数脚本
    ├── criterion.py # 损失函数
    ├── model.py # 模型组网
    ├── components.py # 模型组件
    └── README.md # 使用说明
    

  • 实验结果 (验证集)

    task_type	dataset	pretrained_model_name	f1	precision	recall	Note
    entity_extraction	CLUENER	ernie-3.0-base-zh	80.77	79.73	81.84	-
    relation_extraction	DuIE2.0	ernie-3.0-base-zh	71.23	73.86	68.78	SPO三元组完全一致
    event_extraction	DuEE1.0	ernie-3.0-base-zh	76.35	69.16	72.58	事件类型和角色相同且论元正确
    opinion_extraction	自建数据集	ernie-3.0-base-zh	77.90	81.31	74.77	ASO三元组完全一致

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