Junshuai-Song/Entity-Linking

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Rank 436,019 (Top 9 %)
Language
Python
Created over 7 years ago
Updated about 5 years ago

Junshuai-Song/Entity-Linking

Junshuai-Song

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Entity Linking，识别给定文本中出现的命名实体（Named Entity），并映射到特定的知识库中唯一的实体。包括命名实体识别、消歧等工作。

Model-Alan

对机器学习、概率图模型、主题模型领域一些模型进行实现，主要涉及一些近年高水平会议论文中提到的算法。

UniWalk

We design a Monte Carlo based method, UniWalk, to enable the fast top-k SimRank computation over large undirected graphs. UniWalk directly locates the top-k similar vertices for any single source vertex u via approximately R sampling paths originating from u only. Related work has been published in ICDE 2017 ("UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph"). Furthermore, in order to overcome the "rectification issue" in the original UniWalk, we design a path enumeration strategy to gain higher precision, which computes SimRank with the path probabilities instead of path frequencies in sampling. We call it the optimized UniWalk here, which is shown in the "UniWalk/src/simrank/SingleRandomDev.java" file(the basic UniWalk is shown in "UniWalk/src/simrank/SingleRandomWalk.java").

ML

Sum up some frequently used machine learning algorithms and data analysis methods using Python language.

DeepLearning

包括但不限于：DNN、AutoEncoder、CNN、RNN等

Graph-Embedding

对Graph上顶点、边进行特征提取相关工作学习