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Sevenkili's Projects

ansj_seg icon ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

anyq icon anyq

FAQ-based Question Answering System

d3-cookbook icon d3-cookbook

Source code for "Data Visualization with D3 Cookbook"

data-science-resources icon data-science-resources

Resources for data science, machine learning, artificial intelligence, data and text analytics, data visualization, big data, and more.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

drqa icon drqa

Reading Wikipedia to Answer Open-Domain Questions

echarts icon echarts

Enterprise Charts | Github pages : http://ecomfe.github.io/echarts/index-en.html | Email : [email protected] | Baidu Hi : 1379172 |

fel icon fel

Fast Entity Linker Toolkit for training models to link entities to KnowledgeBase (Wikipedia) in documents and queries.

gccel icon gccel

The goal of entity linking is to linking entity mentions in the document to their referent entity in a knowledge base.In this project,we use the graph-based method to achieve the entity linking for chinese.before you use this project code,you need to install neo4j as you local knowledge base and add the chineseKB of Tsinghua University to it. Next, import the project code into eclipse and configure the path of knowledge base. the main method is in packet EntityLinking.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

hanlp icon hanlp

汉语言处理包 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 自动摘要 短语提取 拼音 简繁转换

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