Pinned Repositories
ace2005chinese_preprocess
ACE 2005 corpus preprocessing for Event Extraction task
Algorithms
Blog
**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
Compiler
2019 Compiler Principles experiment
DBx1000
JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
ND-NER
This is a named entity recognition (NER) dataset for OSINT towards the national defense domain.
OOAD
This repository is about OOAD experiment
Timeline
软件测试与验证期末项目Timeline提交
XinyanLi2016's Repositories
XinyanLi2016/ND-NER
This is a named entity recognition (NER) dataset for OSINT towards the national defense domain.
XinyanLi2016/JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
XinyanLi2016/ace2005chinese_preprocess
ACE 2005 corpus preprocessing for Event Extraction task
XinyanLi2016/Algorithms
XinyanLi2016/Blog
**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
XinyanLi2016/bootstrap
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
XinyanLi2016/Compiler
2019 Compiler Principles experiment
XinyanLi2016/DBx1000
XinyanLi2016/OOAD
This repository is about OOAD experiment
XinyanLi2016/Timeline
软件测试与验证期末项目Timeline提交
XinyanLi2016/Event-Extraction
基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
XinyanLi2016/geneNamedEntityRecog
XinyanLi2016/JenkinsGradleDemo
XinyanLi2016/MachineTranslation-LSTM
英文->中文的机器翻译，原始数据是Kreas官方demo中用到的那个数据，大概2万条。已经上传模型，可以直接运行。
XinyanLi2016/mongo
XinyanLi2016/music-website
🎧 Vue + SpringBoot + MyBatis 音乐网站
XinyanLi2016/openbilibili
哔哩哔哩 bilibili go-common
XinyanLi2016/Pyramid
Code associated with the paper **Pyramid: A Layered Model for Nested Named Entity Recognition**, at ACL 2020
XinyanLi2016/RokidMobileSDKAndroidDemo
Rokid Mobile SDK 开发者文档
XinyanLi2016/Side-Menu.Android
Side menu with some categories to choose.
XinyanLi2016/SoftwareTest
This is for Software Testing homework.
XinyanLi2016/two-are-better-than-one
Code associated with the paper **Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**, at EMNLP 2020