《Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution》阅读笔记

时间 2020-12-26

标签 paper note 人工智能 nlp 深度学习繁體版

原文原文链接

文章目录一、简介二、方法 2.1 mention representation span context Semantic dependency to other mentions 2.2 model 2.3 train and inference algorithm 一、简介这篇文章来自于ACL 2019，针对的是跨篇章的实体和事件共指消解任务。二、方法 2.1 mention repr

>>阅读原文<<

1. 《Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data》阅读笔记
2. 《Segmentation Approach for Coreference Resolution Task》阅读笔记
3. 《Precision Event Coreference Resolution Using Neural Network Classifiers》阅读笔记
4. 阅读笔记 Joint Event and Temporal Relation Extraction with Shared Representations and Structured ...
5. 阅读笔记 Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data
6. 《Joint Learning of Named Entity Recognition and Entity Linking》论文笔记
7. 阅读笔记：Understanding and Modeling of WiFi Signal Based Human Activity Recognition
8. 论文阅读笔记--Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
9. 论文笔记《Joint Deep Modeling of Users and Items Using Reviews for Recommendation》(泛读)
10. 论文阅读笔记－CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
更多相关文章...
• RSS 阅读器 - RSS 教程
• C# 事件（Event） - C#教程
• Tomcat学习笔记（史上最全tomcat学习笔记）
• RxJava操作符（七）Conditional and Boolean

最新文章

1. Appium入门
2. Spring WebFlux 源码分析(2)-Netty 服务器启动服务流程 --TBD
3. wxpython入门第六步（高级组件）
4. CentOS7.5安装SVN和可视化管理工具iF.SVNAdmin
5. jedis 3.0.1中JedisPoolConfig对象缺少setMaxIdle、setMaxWaitMillis等方法，问题记录
6. 一步一图一代码，一定要让你真正彻底明白红黑树
7. 2018-04-12—（重点）源码角度分析Handler运行原理
8. Spring AOP源码详细解析
9. Spring Cloud（1）
10. python简单爬去油价信息发送到公众号

本站公众号

欢迎关注本站公众号,获取更多信息

1. 《Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data》阅读笔记
2. 《Segmentation Approach for Coreference Resolution Task》阅读笔记
3. 《Precision Event Coreference Resolution Using Neural Network Classifiers》阅读笔记
4. 阅读笔记 Joint Event and Temporal Relation Extraction with Shared Representations and Structured ...
5. 阅读笔记 Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data
6. 《Joint Learning of Named Entity Recognition and Entity Linking》论文笔记
7. 阅读笔记：Understanding and Modeling of WiFi Signal Based Human Activity Recognition
8. 论文阅读笔记--Joint High Dynamic Range Imaging and Super-Resolution from a Single Image
9. 论文笔记《Joint Deep Modeling of Users and Items Using Reviews for Recommendation》(泛读)
10. 论文阅读笔记－CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

>>更多相关文章<<