[Adapt] Seminar: Introduction to Knowledge Embedding Models

[Yangyang Dai]

Hi Adapters,

This week I'm going to introduce several methods for Knowledge Embedding, which means generating vector representation of Knowledge Bases. The embedding of Knowledge Bases is of great significance since it will enable us to apply more statistical learning methods to Knowledge Bases. And such embedding could also be applied to recommend system, social network analysis,..,etc. Specifically, I will focus no the Trans serious methods including TransE, TransH, TransR,..etc..

You can find the related paper here: 
https://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data

Time: 16:30 Dec,6
Venue: SEIEE 3-517

Regards,
Yangyang