HEALTHINF 2021 Best Paper Award for Dr. Ying-Chi Lin

03/15/2021 // SCADS

Published on 15 March 2021

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 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. The 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 in HEALTHINF.

Dr. Ying-Chi Lin

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut