We are happy to announce that the research paper Enhancing Cross-lingual Semantic Annotations Using Deep Network Sentence Embeddings has won the Best Paper Award 2021 in the HEALTHINF 2021 (BIOSTEC) conference. The paper proposes two new workflows using deep learning sentence encoders to tackle cross-lingual semantic annotation problem.
It incorporates state of the art methods on annotating non-English medical forms using large ontology sources. The research result shows impressive enhancement in annotation quality compared to method using conventional string matching. This awarded paper is authored by Dr. Ying-Chi Lin and Prof. Erhard Rahm from the database group and ScaDS.AI Leipzig and Phillip Hoffmann, who was a supervised Bachelor student. The BIOSTEC joint conference received a total of 317 paper submissions from 54 countries in all continents, of which 22% were accepted as full papers. Therefore, it is a great honor for our researchers to have won the Best Paper Award 2021 in HEALTHINF.
We congratulate our colleagues for the tremendous success of their paper. We are looking forward to future publications. In case you would like to find out more about our research, you can check out our research area.
Dr. Ying-Chi LinCheck out more news about ScaDS.AI Dresden/Leipzig at our Blog.