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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta keyword="刘焕勇 知识图谱 事理图谱 金融 情报 语言资源 常识知识库 常识库 事理 演化 推理 简历 ">
<title>刘焕勇-个人主页</title>
<link rel="stylesheet" type="text/css" href="Semantic-ui/semantic.min.css">
<script src="Semantic-ui/semantic.min.js"></script>
</head>
<body>
<div class="ui celled grid">
<div class="one wide column"></div>
<div class="fourteen wide column">
<div class="item">
<div class="content">
<div class="description">
<br>
<p><font size="3"><i class="rss icon"></i>研究方向:<i class="heart outline icon"></i>知识图谱<i class="heart outline icon"></i>大模型微调及评估<i class="heart outline icon"></i>RAG<i class="heart outline icon"></i>文档理解</font>
<br>
<p><font size="3"><i class="rss icon"></i>github项目：<a href="https://liuhuanyong.github.io">https://liuhuanyong.github.io</a></font>
<p><font size="3"><i class="rss icon"></i>技术社区：<a href="https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzAxMjc3MjkyMg==&action=getalbum&album_id=2120957806534033409&scene=126&uin=&key=&devicetype=iMac+MacBookPro15%2C1+OSX+OSX+14.2+build(23C64)&version=13080612&lang=zh_CN&nettype=WIFI&ascene=0&fontScale=100">老刘说NLP</a></font>
<img class="ui medium rounded image" src="./images/mylaoliu.png"></p>
<p><font size="3"><i class="rss icon"></i>个人简介：刘焕勇，360人工智能研究院资深算法专家，知识图谱及文档理解算法方向负责人，曾就职于中国科学院。近年来主持或参与研制全行业事理图谱、360百科图谱、知识图谱平台、文档理解大模型、360智脑自研大模型等项目。申请发明专利十余项、核心论文数篇，开源项目60余项。在国际OGB-Wikikg2实体链接以及国内CCKS多模态实体匹配等KG/NLP/文档智能领域评测中获得冠亚军名次。创立“老刘说NLP”社区，具有广泛影响力。</font>
<p><font size="3"><i class="sun icon"></i>技术格言：懂语言者，得天下。得语言资源者，定天下。掌语言逻辑者，游得天下</font></p>
</div>
</div>
</div>
</br>
</br>
<h3 class="ui horizontal divider header"><i class="star outline icon"></i> 对外技术分享(部分) </h3>
<table class="ui one column table">
<thead>
<tr>
<th>分享主题</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://conf.ccf.org.cn/web/html4/index.html?globalId=m1087773816576413696167938708773&type=1">CCF中国计算机学会：《浅谈大模型与知识图谱的结合：近期的几点方向探索与心得总结》</a></td>
</tr>
<tr>
<td><a href="https://cs.fudan.edu.cn/b6/cf/c24259a440015/page.htm">复旦大学：《领域知识(事件)图谱的构建、关键技术与工业应用落地探索》</a></td>
</tr>
<tr>
<td><a href="https://aidd.vip/zsgc-sz2023">AIDD2023-深圳：《KG+LLM在行业知识管理场景的应用》</a></td>
</tr>
<tr>
<td><a href="https://mp.weixin.qq.com/s/6wz5R9uw8zfXNZVZUtdwdw">DatafunTalk 2023-深圳：《大模型幻觉的起因、评估及落地场景下基于知识图谱的缓解策略探索》</a></td>
</tr>
<tr>
<td><a href="https://mp.weixin.qq.com/s/SvDnQD886E3DBtw8k9asgg">DatafunTalk：《大模型研发核心：数据工程、自动化评估及与知识图谱的结合》</a></td>
</tr>
</table>
<h3 class="ui horizontal divider header"><i class="star outline icon"></i> 老刘说NLP技术专题(部分) </h3>
<table class="ui one column table">
<thead>
<tr>
<th>技术主题</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzAxMjc3MjkyMg==&action=getalbum&album_id=2120957806534033409&scene=126">预训练模型：关于大模型数据、评估、训练的一些技术总结</a></td>
</tr>
<tr>
<td><a href="https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzAxMjc3MjkyMg==&action=getalbum&album_id=2016530030821998594&scene=126">知识图谱：关于知识图谱的理论、实践及思考</a></td>
</tr>
<tr>
<td><a href="https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzAxMjc3MjkyMg==&action=getalbum&album_id=2094954461629612036&scene=126">事件图谱：关于事件、事理图谱的理论、实践及思考</a></td>
</tr>
<tr>
<td><a href="https://mp.weixin.qq.com/mp/appmsgalbum?__biz=MzAxMjc3MjkyMg==&action=getalbum&album_id=3276284267911856128&scene=173&subscene=227">大模型RAG问答：关于知识增强的一些策略与范式</a></td>
</tr>
</tbody>
</table>
<h3 class="ui horizontal divider header"><i class="star outline icon"></i> 开源项目（68项） </h3>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>常识推理</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/CommonSchemaKG">CommonSchemaKG</a></td>
<td>开放通用实体与事件schema工程</td>
<td>常识推理</td>
<td>2021/04/27</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/CognitiveInference">CognitiveInference</a></td>
<td>认知图谱及其推理</td>
<td>常识推理</td>
<td>2020/8/30</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/EventPredictBasedOnEG">EventPredictBasedOnEG</a></td>
<td>基于因果事理的事件预测</td>
<td>常识推理</td>
<td>2019/3/29</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>系统平台</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/EventKGNELL">EventKGNELL</a></td>
<td>实时事理知识库构建系统</td>
<td>系统平台</td>
<td>2020/3/18</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/LanguageKnowledgeGraph">LanguageKnowledgeGraph</a></td>
<td>语言政策领域知识图谱系统</td>
<td>系统平台</td>
<td>2018/3/14</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/LanguagePlatform">LanguagePlatform</a></td>
<td>自然语言处理综合平台</td>
<td>系统平台</td>
<td>2018/3/6</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>知识问答</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/QASystemOnMedicalKG">QASystemOnMedicalKG</a></td>
<td>医疗知识图谱问答</td>
<td>知识问答</td>
<td>2020/8/13</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/QAonMilitaryKG">QAonMilitaryKG</a></td>
<td>武器装备知识图谱问答</td>
<td>知识问答</td>
<td>2020/4/19</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ZhidaoChatbot">ZhidaoChatbot</a></td>
<td>基于知道数据的机器问答</td>
<td>知识问答</td>
<td>2019/3/29</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/CrimeKgAssitant">CrimeKgAssitant</a></td>
<td>法律罪名预测与机器问答</td>
<td>知识问答</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/MusicLyricChatbot">MusicLyricChatbot</a></td>
<td>基于es的歌词接龙问答</td>
<td>知识问答</td>
<td>2018/10/15</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>知识图谱</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/ChainKnowledgeGraph</a></td>
<td>产业链图谱数据集</td>
<td>知识图谱</td>
<td>2021/10/26</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/AbstractKnowledgeGraph">AbstractKnowledgeGraph</a></td>
<td>抽象上下位知识图谱数据集</td>
<td>知识图谱</td>
<td>2019/8/6</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/PersonGraphDataSet">PersonGraphDataSet</a></td>
<td>人物关系图谱数据集</td>
<td>知识图谱</td>
<td>2021/1/26</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/CausalCollocation">CausalCollocation</a></td>
<td>因果搭配抽取数据集</td>
<td>知识图谱</td>
<td>2019/4/22</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ProductKnowledgeGraph">ProductKnowledgeGraph</a></td>
<td>产品知识图谱数据集</td>
<td>知识图谱</td>
<td>2019/4/1</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>语言资源</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/DomainWordsDict">DomainWordsDict</a></td>
<td>领域特征词汇知识库</td>
<td>语言资源</td>
<td>2021/8/28</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseDiachronicCorpus">ChineseDiachronicCorpus</a></td>
<td>中文历时语料库</td>
<td>语言资源</td>
<td>2021/1/13</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseSemanticKB">ChineseSemanticKB</a></td>
<td>中文语义知识库数据集</td>
<td>语言资源</td>
<td>2020/7/18</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/MiningZhiDaoQACorpus">CausalCollocation</a></td>
<td>百度知道类问答数据集</td>
<td>语言资源</td>
<td>2019/8/6</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/HistoryHotEventBase">HistoryHotEventBase</a></td>
<td>历时热点事件数据集</td>
<td>语言资源</td>
<td>2019/4/22</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseNLPCorpus">ChineseNLPCorpus</a></td>
<td>中文开放语料数据集</td>
<td>语言资源</td>
<td>2018/12/16</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseEmbedding">ChineseEmbedding</a></td>
<td>基于word2vec的中文向量数据集</td>
<td>语言资源</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/BaikeKnowledgeSchema">BaikeKnowledgeSchema</a></td>
<td>百科分类知识库数据集</td>
<td>语言资源</td>
<td>2018/4/25</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>语言工具</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseAntiword">ChineseAntiword</a></td>
<td>中文反义词组件</td>
<td>语言工具</td>
<td>2018/8/26</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseCixing">ChineseCixing</a></td>
<td>中文字形拆解组件</td>
<td>语言工具</td>
<td>2018/8/26</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/QueryCorrection">QueryCorrection</a></td>
<td>基于HMM的问句纠错</td>
<td>语言工具</td>
<td>2018/5/27</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/Pinyin2Chinese">Pinyin2Chinese</a></td>
<td>基于HMM的拼音转汉字</td>
<td>语言工具</td>
<td>2018/4/24</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/Word2Vector">Word2Vector</a></td>
<td>基于共现、PCA、CBOW的词向量生成</td>
<td>语言工具</td>
<td>2019/4/22</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/Pinyin2Chinese">Pinyin2Chinese</a></td>
<td>基于HMM的拼音转汉字</td>
<td>语言工具</td>
<td>2018/4/24</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/HuanNLP">HuanNLP</a></td>
<td>手写的分词、词性标注、依存句法分析组件</td>
<td>语言工具</td>
<td>2018/4/14</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/WordSegment">WordSegment</a></td>
<td>基于HMM、最大切分的中文分词</td>
<td>语言工具</td>
<td>2018/3/27</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/Sentence2Vector">Sentence2Vector</a></td>
<td>基于CBOW的句子向量生成</td>
<td>语言工具</td>
<td>2018/3/25</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>信息抽取</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/EventTriplesExtraction">EventTriplesExtraction</a></td>
<td>主谓宾事件三元组抽取</td>
<td>信息抽取</td>
<td>2021/1/12</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/DescriptionKBExtraction">DescriptionKBExtraction</a></td>
<td>概念描述三元组抽取</td>
<td>信息抽取</td>
<td>2020/7/24</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/PersonRelationKnowledgeGraph">PersonRelationKnowledgeGraph</a></td>
<td>基于boostrapping的人物关系抽取</td>
<td>信息抽取</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/QueryCorrection">QueryCorrection</a></td>
<td>基于HMM的问句纠错</td>
<td>信息抽取</td>
<td>2018/5/27</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/LawCrimeMining">LawCrimeMining</a></td>
<td>法律条文知识抽取</td>
<td>信息抽取</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/MedicalNamedEntityRecognition">MedicalNamedEntityRecognition</a></td>
<td>医疗命名实体识别</td>
<td>信息抽取</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/HyponymyExtraction">HyponymyExtraction</a></td>
<td>基于百科数据的上下位抽取</td>
<td>信息抽取</td>
<td>2018/10/7</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/TextFeatureExtraction">TextFeatureExtraction</a></td>
<td>基于 CHI、DF、 IG、MI的文本特征词提取</td>
<td>信息抽取</td>
<td>2018/4/18</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/KeyInfoExtraction">KeyInfoExtraction</a></td>
<td>基于TFIDF、TextRank的关键词、摘要提取</td>
<td>信息抽取</td>
<td>2018/4/17</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/WordCollocation">WordCollocation</a></td>
<td>基于MI的词语搭配抽取</td>
<td>信息抽取</td>
<td>2018/4/5</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/BaikeInfoExtraction">BaikeInfoExtraction</a></td>
<td>面向百科的半结构化信息抽取</td>
<td>信息抽取</td>
<td>2018/3/30</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>信息采集</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/WeiboIndexSpyder">WeiboIndexSpyder</a></td>
<td>微博指数采集</td>
<td>信息采集</td>
<td>2018/5/29</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/AliIndexSpyder">AliIndexSpyder</a></td>
<td>阿里商品指数采集</td>
<td>信息采集</td>
<td>2018/8/26</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/QueryCorrection">QueryCorrection</a></td>
<td>基于HMM的问句矫正</td>
<td>信息采集</td>
<td>2018/5/29</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/BaiduIndexSpyder">BaiduIndexSpyder</a></td>
<td>百度指数采集</td>
<td>信息采集</td>
<td>2018/5/27</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/SougouWordsCollector">SougouWordsCollector</a></td>
<td>基于搜狗输入法的领域词收集</td>
<td>信息采集</td>
<td>2018/4/25</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>文本生成</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/Seq2seqAttGeneration">Seq2seqAttGeneration</a></td>
<td>序列到序列加注意力机制的文本生成</td>
<td>文本生成</td>
<td>2021/1/11</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/Seq2seqGeneration">Seq2seqGeneration</a></td>
<td>序列到序列的文本生成</td>
<td>文本生成</td>
<td>2021/1/6</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/Seq2SeqTranslation">Seq2SeqTranslation</a></td>
<td>基于seq2seq的中英翻译</td>
<td>文本生成</td>
<td>2018/5/27</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>文本计算</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href=" https://github.com/liuhuanyong/SinglepassTextCluster">SinglepassTextCluster</a></td>
<td>基于Singlepass的增量快速文本聚类</td>
<td>文本计算</td>
<td>2021/09/04</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/SiameseSentenceSimilarity">SiameseSentenceSimilarity</a></td>
<td>基于孪生网络的句子相似度计算</td>
<td>文本计算</td>
<td>2019/12/5</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/IdealWordCloudKit">IdealWordCloudKit</a></td>
<td>自定义词云可视化</td>
<td>文本计算</td>
<td>2019/1/26</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/EventMonitor">EventMonitor</a></td>
<td>基于搜索引擎的事件监测</td>
<td>文本计算</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/SentenceSimilarity">SentenceSimilarity</a></td>
<td>基于规则与向量化的句子相似度计算</td>
<td>文本计算</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseTextualInference">ChineseTextualInference</a></td>
<td>中文文本蕴含推断</td>
<td>文本计算</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/WordMultiSenseDisambiguation">WordMultiSenseDisambiguation</a></td>
<td>基于百科的词语消歧</td>
<td>文本计算</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/TopicCluster">TopicCluster</a></td>
<td>基于lda与k-means的话题聚类</td>
<td>文本计算</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ImportantEventExtractor">ImportantEventExtractor</a></td>
<td>事件重要性判定与时间线生成</td>
<td>文本计算</td>
<td>2018/10/7</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/PoemMining">PoemMining</a></td>
<td>基于诗歌数据的诗人足迹挖掘</td>
<td>文本计算</td>
<td>2018/10/7</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/TextGrapher">TextGrapher</a></td>
<td>基于关键信息的文本图谱化</td>
<td>文本计算</td>
<td>2018/10/6</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>事理抽取</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/SequentialEventExtration">SequentialEventExtration</a></td>
<td>基于游记的顺承事件抽取</td>
<td>事理抽取</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/CausalityEventExtraction">CausalityEventExtraction</a></td>
<td>基于规则的因果事件抽取</td>
<td>事理抽取</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ComplexEventExtraction">ComplexEventExtraction</a></td>
<td>基于规则的复合事件抽取</td>
<td>事理抽取</td>
<td>2018/12/15</td>
</tr>
</tbody>
</table>
<h4 class="ui horizontal divider header"><i class="tag icon"></i>情感计算</h4>
<table class="ui three column table">
<thead>
<tr>
<th>项目名称</th>
<th>中文名称</th>
<th>项目分类</th>
<th>更新日期</th>
</tr>
</thead>
<tbody>
<tr>
<td><a href="https://github.com/liuhuanyong/DocSentimentAnalysis">DocSentimentAnalysis</a></td>
<td>篇章级情感分析</td>
<td>情感计算</td>
<td>2019/6/11</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ChineseHumorSentiment">ChineseHumorSentiment</a></td>
<td>中文幽默情感计算</td>
<td>情感计算</td>
<td>2018/12/15</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/ZhuguanDetection">ZhuguanDetection</a></td>
<td>基于规则的主观性计算</td>
<td>情感计算</td>
<td>2018/10/6</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/SentimentWordExpansion">SentimentWordExpansion</a></td>
<td>基于SO-PMI的情感词扩展</td>
<td>情感计算</td>
<td>2018/4/5</td>
</tr>
<tr>
<td><a href="https://github.com/liuhuanyong/SentenceSentimentClassifier">SentenceSentimentClassifier</a></td>
<td>基于MLP, CNN, RNN的情感分类</td>
<td>情感计算</td>
<td>2018/3/24</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="one wide column">
</div>