In this project, we will develop innovative medical embedding learning algorithms and make knowledge alignment across multiple languages in the medical domain. Our learning algorithms will fully exploit the semantic similarity for knowledge alignment across languages.
Tag: Ji Wu
O4-N Multilingual Knowledge Alignment with Embedding Representation Learning
The goal of this project is to create a novel “Multilingual Knowledge Alignment” method in the medical domain with no/less parallel corpus, to enhance/improve Medical Knowledge in Chinese.