基于Kmeans与Lda模型的多文档主题聚类,输入多篇文档,输出每个主题的关键词与相应文本,可用于主题发现与热点分析 。 项目地址:https://github.com/liuhuanyong/TopicCluster If any question about the project or me ,see https://liuhuanyong.github.io/
Citation: Baoxu Shi and Tim Weninger (2017). Open-World Knowledge Graph Completion 6, AAAI 2018传统的知识库补全算法如TransE等都是基于Close world assumption 的,也是就说补全的实体必须在知识图谱内。然而事实上大规模的知识图谱是一直进化的,…
CCKS2018Summary
项目地址:https://github.com/liuhuanyong/CCKS2018Summary self summary after attending ccks2018 (2018全国知识图谱与语义计算大会)
介绍
全国知识图谱与语义计算大会(CCKS: China Conference on Knowledge Graph and Semantic C…
Citation:Fan Yang,Zhilin Yang, William W. Cohen. Differentiable Learning of Logical Rules for Knowledge Base Reasoning. ICLR 2017.动机本文提出了一个可微的基于知识库的逻辑规则学习模型。现在有很多人工智能和机器学习的工作在研究如何学习一阶逻辑规则&…
HyponymyExtraction
项目地址:https://github.com/liuhuanyong/HyponymyExtraction HyponymyExtraction and Graph based on KB Schema, Baike-kb and online text extract, 基于知识概念体系,百科知识库,以及在线搜索结构化方式的词语上下位…
Generalisation of structural knowledge in theHippocampal-Entorhinal systemhttps://www.groundai.com/project/generalisation-of-structural-knowledge-in-the-hippocampal-entorhinal-system/海马 - 内嗅系统结构知识的泛化 实体概念信息和位置及虚拟位置信息组成记忆保存…
LawCrimeMining
Law Crime Mining Based on Corpus build and content analysis by NLP methods. 基于领域语料库构建与NLP方法的裁判文书与犯罪案例文本挖掘项目 项目地址:https://github.com/liuhuanyong/LawCrimeMining
项目介绍
正邪不两立,法律与…