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deepie's Introduction

DeepIE: Deep Learning for Information Extraction

DeepIE： 基于深度学习的信息抽取技术

（预计2020年8月31日前全部更新完毕）

知乎专栏文章下载：nlp中的实体关系抽取方法总结

主要涉及的信息抽取技术包含：

  • 实体抽取
  • 属性抽取
  • 关系分类
  • 实体关系联合抽取
  • 实体链接/标准化
  • 事件抽取/事件主体抽取/事件段落抽取
  • 属性级情感分析和观点抽取
  • 摘要抽取
  • 信息抽取中的低资源解决方案
  • 前沿技术在信息抽取中的应用

主要涉及的评测/竞赛任务：

  • 百度-2020语言与智能技术竞赛：关系抽取任务
  • 百度-2020语言与智能技术竞赛：事件抽取任务
  • 百度-2019语言与智能技术竞赛：信息抽取
  • CCKS 2019 医疗命名实体识别
  • CHIP 2019 临床术语标准化任务
  • CCKS 2019 人物关系抽取
  • CCKS 2019 公众公司公告信息抽取
  • CCKS 2019 面向金融领域的事件主体抽取

涉及的数据领域包含：

  • 医疗
  • 金融
  • 电商
  • 法律

Installation

$ git clone https://github.com/loujie0822/DeepIE
$ cd DeepIE

Content

  1. 信息抽取领域的paper汇总
  2. 信息抽取领域的数据资源汇总
  3. 信息抽取相关技术总结

Reference

deepie's People

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