I am a third-year undergraduate in the Department of Computer Science and Technology at Tsinghua University. I joined Tsinghua Natural Language Processing Group (THUNLP) in early 2016 and I am fortunately under the supervision of Zhiyuan Liu.
My research interests lie on natural language processing and machine learning.
Email: zhuhao15 [at] mails.tsinghua.edu.cn
Entity alignment aims to link entities and their counterparts among different knowledge graphs. There are two main challenge in this project: (1) How to find synonymous entity counterparts from different knowledge graphs, (2) How to make full use of entity pairs aligned during training. We proposed to embedding both knowledge graphs into joint embedding space and also proposed an iterative method to make use of newly aligned entity pairs.
Iterative Entity Alignment via Joint Knowledge Embeddings International Joint Conference of Artificial Intelligence (IJCAI-17).
Copyright © Hao Zhu 2015-2017